Relevant bibliographies by topics / La probabilité de diffusion

Academic literature on the topic 'La probabilité de diffusion'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "La probabilité de diffusion"

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Grignon, Michel, Byron G. Spencer, and Li Wang. "Is There an Age Pattern in the Treatment of AMI? Evidence from Ontario." Canadian Journal on Aging / La Revue canadienne du vieillissement 29, no. 3 (August 24, 2010): 317–32. http://dx.doi.org/10.1017/s0714980810000383.

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RÉSUMÉDans cet article nous analysons la probabilité pour un patient hospitalisé pour infarctus du myocarde de recevoir des traitements chirurgicaux, puis nous mesurons les changements dans le temps de cette probabilité et cherchons à savoir si l’âge du patient joue sur la probabilité. Nos estimations, fondées sur des données administratives incluant tous les séjours dans les hôpitaux de soins aigus de l’Ontario pour certaines années entre 1995 et 2005, font état d’un profil par âge marqué et stable dans le temps dans la diffusion de la technologie médicale. Nos résultats montrent que ceci est robuste à l’inclusion de contrôles pour la plus forte fréquence de co-morbidités chez les patients âgés ainsi que pour les effets de pratiques propres aux hôpitaux.
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Pardo, A., and G. Sapiro. "Vector probability diffusion." IEEE Signal Processing Letters 8, no. 4 (April 2001): 106–9. http://dx.doi.org/10.1109/97.911471.

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Tupper, P. F., and Xin Yang. "A paradox of state-dependent diffusion and how to resolve it." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 468, no. 2148 (September 5, 2012): 3864–81. http://dx.doi.org/10.1098/rspa.2012.0259.

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Consider a particle diffusing in a confined volume which is divided into two equal regions. In one region, the diffusion coefficient is twice the value of the diffusion coefficient in the other region. Will the particle spend equal proportions of time in the two regions in the long term? Statistical mechanics would suggest yes, since the number of accessible states in each region is presumably the same. However, another line of reasoning suggests that the particle should spend less time in the region with faster diffusion, since it will exit that region more quickly. We demonstrate with a simple microscopic model system that both predictions are consistent with the information given. Thus, specifying the diffusion rate as a function of position is not enough to characterize the behaviour of a system, even assuming the absence of external forces. We propose an alternative framework for modelling diffusive dynamics in which both the diffusion rate and equilibrium probability density for the position of the particle are specified by the modeller. We introduce a numerical method for simulating dynamics in our framework that samples from the equilibrium probability density exactly and is suitable for discontinuous diffusion coefficients.
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Hutzenthaler, Martin, and Jesse Earl Taylor. "Time reversal of some stationary jump diffusion processes from population genetics." Advances in Applied Probability 42, no. 4 (December 2010): 1147–71. http://dx.doi.org/10.1239/aap/1293113155.

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We describe the processes obtained by time reversal of a class of stationary jump diffusion processes that model the dynamics of genetic variation in populations subject to repeated bottlenecks. Assuming that only one lineage survives each bottleneck, the forward process is a diffusion on [0,1] that jumps to the boundary before diffusing back into the interior. We show that the behavior of the time-reversed process depends on whether the boundaries are accessible to the diffusive motion of the forward process. If a boundary point is inaccessible to the forward diffusion then time reversal leads to a jump diffusion that jumps immediately into the interior whenever it arrives at that point. If, instead, a boundary point is accessible then the jumps off of that point are governed by a weighted local time of the time-reversed process.
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Hutzenthaler, Martin, and Jesse Earl Taylor. "Time reversal of some stationary jump diffusion processes from population genetics." Advances in Applied Probability 42, no. 04 (December 2010): 1147–71. http://dx.doi.org/10.1017/s0001867800004560.

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We describe the processes obtained by time reversal of a class of stationary jump diffusion processes that model the dynamics of genetic variation in populations subject to repeated bottlenecks. Assuming that only one lineage survives each bottleneck, the forward process is a diffusion on [0,1] that jumps to the boundary before diffusing back into the interior. We show that the behavior of the time-reversed process depends on whether the boundaries are accessible to the diffusive motion of the forward process. If a boundary point is inaccessible to the forward diffusion then time reversal leads to a jump diffusion that jumps immediately into the interior whenever it arrives at that point. If, instead, a boundary point is accessible then the jumps off of that point are governed by a weighted local time of the time-reversed process.
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Bouchard, Gérard, Jean Morissette, and Kevork Kouladjian. "La statistique agrégée des patronymes du Saguenay et de Charlevoix comme indicateurs de la structure de la population aux XIXe et XXe siècles." Articles 16, no. 1 (October 20, 2008): 67–98. http://dx.doi.org/10.7202/600608ar.

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RÉSUMÉ L’analyse de la statistique des patronymes du Saguenay et de Charlevoix depuis le XIXe siècle suggère que les populations de ces deux régions sont extrêmement similaires, l’une ayant été créée à partir de l’autre. S’agissant plus particulièrement du Saguenay, les structures du bassin patronymique y sont demeurées relativement stables entre 1842 et 1971. Les auteurs pensent que, à titre préliminaire, la statistique des noms de famille peut être un indicateur utile non seulement de la dynamique d’une population, mais aussi de l’ensemble de son bassin génétique. Elle semble cependant mal refléter la diffusion d’un gène en particulier : on ne trouve pas ici de corrélation entre le fait de porter tel nom et la probabilité de porter tel ou tel gène délétère.
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Pagnini, Gianni. "Subordination Formulae for Space-time Fractional Diffusion Processes via Mellin Convolution." International Journal of Mathematical Models and Methods in Applied Sciences 16 (March 12, 2022): 71–76. http://dx.doi.org/10.46300/9101.2022.16.13.

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Fundamental solutions of space-time fractional diffusion equations can be interpret as probability density functions. This fact creates a strong link with stochastic processes. Recasting probability density functions in terms of subordination laws has emerged to be important to built up stochastic processes. In particular, for diffusion processes, subordination can be understood as a diffusive process in space, which is called parent process, that depends on a parameter which is also random and depends on time, which is called directing process. Stochastic processes related to fractional diffusion are self-similar processes. The integral representation of the resulting probability density function for self-similar stochastic processes can be related to the convolution integral within the Mellin transform theory. Here, subordination formulae for space-time fractional diffusion are provided. In particular, a noteworthy new formula is derived in the diffusive symmetric case that is spatially driven by the Gaussian density. Future developments of the research on the basis of this new subordination law are discussed.
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Abundo, Mario. "First-Passage Problems for Asymmetric Diffusions and Skew-diffusion Processes." Open Systems & Information Dynamics 16, no. 04 (December 2009): 325–50. http://dx.doi.org/10.1142/s1230161209000256.

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For a, b > 0, we consider a temporally homogeneous, one-dimensional diffusion process X(t) defined over I = (-b, a), with infinitesimal parameters depending on the sign of X(t). We suppose that, when X(t) reaches the position 0, it is reflected rightward to δ with probability p > 0 and leftward to -δ with probability 1 - p, where δ > 0. Closed analytical expressions are found for the mean exit time from the interval (-b, a), and for the probability of exit through the right end a, in the limit δ → 0+, generalizing the results of Lefebvre, holding for asymmetric Wiener process. Moreover, in alternative to the heavy analytical calculations, a numerical method is presented to estimate approximately the quantities above. Furthermore, on the analogy of skew Brownian motion, the notion of skew diffusion process is introduced. Some examples and numerical results are also reported.
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Bustreel, Anne, Frédérique Cornuau, and Martine Pernod-Lemattre. "Concilier vie familiale et vie professionnelle en France : les disparités d’horaires de travail." Autres articles 67, no. 4 (December 5, 2012): 681–702. http://dx.doi.org/10.7202/1013200ar.

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Résumé La France se caractérise aujourd’hui par une forte proportion de salariés ayant des contraintes familiales et par un nombre élevé d’entreprises qui flexibilisent la durée et les horaires de travail : comment la diffusion de ces nouvelles contraintes temporelles affectent-elles les femmes, et plus particulièrement les mères ? Une typologie des conditions temporelles d’emploi des salariés français intégrant la durée du travail, la souplesse horaire dont bénéficie le salarié et la « localisation » de son temps de travail, construite à partir de l’enquête « Familles et employeurs » (Ined-Insee, 2004-2005), fait apparaître une surreprésentation des femmes dans les emplois les plus souples, mais aussi les plus contraignants temporellement, alors que l’effet de la présence d’enfant semble assez mineur. Trois hypothèses sont testées pour expliquer les conditions temporelles d’emploi : la préférence des salariés pour des horaires de travail commodes, les caractéristiques productives des emplois et le rapport de force salarié-employeur. Les résultats montrent que le fait d’avoir de jeunes enfants n’est pas corrélé aux conditions temporelles d’emploi. Être une femme accroît la probabilité d’avoir des horaires hyper-souples (plutôt que standards contraints) et diminue la probabilité d’avoir des horaires longs souples et non standards contraints. L’hypothèse d’une sélection en fonction des préférences n’est pas confirmée par l’analyse alors que les exigences productives des emplois et des employeurs ainsi que le pouvoir de négociation des salariés exercent des effets significatifs et expliquent la surreprésentation des femmes dans les horaires fragmentés contraints.
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Shimizu, Akinobu. "A measure valued diffusion process describing an n locus model incorporating gene conversion." Nagoya Mathematical Journal 119 (September 1990): 81–92. http://dx.doi.org/10.1017/s0027763000003123.

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Probability measure valued diffusion processes have been discussed by many authors, in connection with population genetics. Most papers studying probability measure valued diffusions are mainly concerned with the ones describing single locus models. In this paper, we will discuss a measure valued diffusion describing an n locus model. Random sampling, mutation and gene conversion, a kind of interaction between loci, which was introduced and investigated by T. Ohta in [5], [6], will be taken into consideration.
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Dissertations / Theses on the topic "La probabilité de diffusion"

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Vervisch, Luc. "Prise en compte d'effets de cinétique chimique dans les flammes de diffusion turbulentes par l'approche fonction densité de probabilité." Rouen, 1991. http://www.theses.fr/1991ROUES053.

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Des simulations numériques de flammes de diffusion turbulentes sont présentées dans ce mémoire. Différents aspects sont abordés, les effets de cinétiques chimiques et leur couplage avec l'aérodynamique turbulente. Dans un premier temps, la description des écoulements turbulents réactifs par le biais de l'approche fonction densité de probabilité est examinée en détail, ainsi que les modélisations du mélange aux petites échelles adaptées au cas des flammes de diffusion. Deux méthodes numériques couplées à la résolution des équations de la mécanique des fluides fermées au premier ordre par un modèle à deux équations sont alors proposées. L'une s'inscrivant dans le cadre des méthodes a pdf présumee PEUL, l'autre assurant la résolution de l'équation d'évolution de la pdf des variables thermochimiques par une technique de Monte Carlo. La validation des modélisations et des méthodes numériques est effectuée dans différentes configurations de flamme de diffusion turbulentes
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Fournier, Paulin. "Parameterized verification of networks of many identical processesVérification paramétrée de réseaux composés d'une multitude de processus identiques." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S170/document.

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Ce travail s'inscrit dans le cadre de la vérification formelle de programmes. La vérification de modèle permet de s'assurer qu'une propriété est vérifiée par le modèle du système. Cette thèse étudie la vérification paramétrée de réseaux composés d'un nombre non borné de processus identiques où le nombre de processus est considéré comme un paramètre. Concernant les réseaux de protocoles probabilistes temporisés nous montrons que les problèmes de l'accessibilité et de synchronisation sont indécidables pour des topologies de communication en cliques. Cependant, en considérant des pertes et créations probabiliste de processus ces problèmes deviennent décidables. Pour ce qui est des réseaux dans lequel les messages n'atteignent qu'une sous partie des composants choisie de manière non-déterministe, nous prouvons que le problème de l'accessibilité paramétrée est décidable grâce à une réduction à un nouveau modèle de jeux à deux joueurs distribué pour lequel nous montrons que l'on peut décider de l'existence d'une stratégie gagnante en coNP. Finalement, nous considérons des stratégies locales qui permettent d'assurer que les processus effectuent leurs choix non-déterministes uniquement par rapport a leur connaissance locale du système. Sous cette hypothèse de stratégies locales, nous prouvons que les problèmes de l'accessibilité et de synchronisation paramétrées sont NP-complet
This thesis deals with formal verification of distributed systems. Model checking is a technique for verifying that the model of a system under study fulfills a given property. This PhD investigates the parameterized verification of networks composed of many identical processes for which the number of processes is the parameter. Considering networks of probabilistic timed protocols, we show that the parameterized reachability and synchronization problems are undecidable when the communication topology is a clique. However, assuming probabilistic creation and deletion of processes, the problems become decidable. Regarding selective networks, where the messages only reach a subset of the components, we show decidability of the parameterized reachability problem thanks to reduction to a new model of distributed two-player games for which we prove decidability in coNP of the game problem. Finally, we consider local strategies that enforce all processes to resolve the non-determinism only according to their own local knowledge. Under this assumption of local strategy, we were able to show that the parameterized reachability and synchronization problems are NP-complete
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Schüring, Andreas. "The probability that a molecule enters a porous crystal." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-193589.

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Evans, Denis J., Debra J. Searles, and Stephen R. Williams. "A simple mathematical proof of boltzmann's equal a priori probability hypothesis." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-190362.

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Using the Fluctuation Theorem (FT), we give a first-principles derivation of Boltzmann’s postulate of equal a priori probability in phase space for the microcanonical ensemble. Using a corollary of the Fluctuation Theorem, namely the Second Law Inequality, we show that if the initial distribution differs from the uniform distribution over the energy hypersurface, then under very wide and commonly satisfied conditions, the initial distribution will relax to that uniform distribution. This result is somewhat analogous to the Boltzmann H-theorem but unlike that theorem, applies to dense fluids as well as dilute gases and also permits a nonmonotonic relaxation to equilibrium. We also prove that in ergodic systems the uniform (microcanonical) distribution is the only stationary, dissipationless distribution for the constant energy ensemble.
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Su, Fei. "Statistical analysis of non-linear diffusion process." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/2776.

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In this paper, we study the problem of statistical inference of continuous-time diffusion processes and their higher-order analogues, and develop methods for modeling threshold diffusion processes in particular. The limiting properties of such estimators are also discussed. We also proposed the likelihood ratio test statistics for testing threshold diffusion process against its linear alternative. We begin in Chapter 1 with an introduction of continuous-time non-linear diffusion processes where I summarized the literature on model estimation. The most natural extension from affine to non-linear model would be piecewise linear diffusion process with piecewise constant variance functions. It can also be considered as a continuous-time threshold autoregressive model (CTAR), the continuous-time analogue of AR model for discrete-time time-series data. The order-one CTAR model is discussed in detail. The discussion is directed more toward the estimation techniques other than the mathematical details. Existing inferential methods (estimation and testing) generally assume known functional form of the (instantaneous) variance function. In practice, the functional form of the variance function is hardly known. So, it is important to develop new methods for estimating a diffusion model that does not rely on knowledge on the functional form of the variance function. In the second Chapter, we propose the quasi-likelihood method to estimate the parameters indexing the mean function of a threshold diffusion model without prior knowledge of its instantaneous variance structure. (and apply to other nonlinear diffusion models, which will be further investigated later.) We also explore the limiting properties of the quasi-likelihood estimators. We focus on estimating the mean function, after which the functional form of the instantaneous variance function can be explored and subsequently estimated from quadratic variation considerations. We show that, under mild regularity conditions, the quasi-likelihood estimators of the parameters in the linear mean function of each regime are consistent and are asymptotically normal, whereas the threshold parameter is super consistent and weakly converges to some non-Gaussian continuous distribution. A notable feature is that the limiting distribution of the threshold parameter admits a closed-form probability density function, which enables the construction of its confidence interval; in contrast, for the discrete-time TAR models, the construction of the confidence interval for the threshold parameter has, so far, not been practically solved. A simulation study is provided to illustrate the asymptotic results. We also use the threshold model to estimate the term structure of a long time series of US interest rates. It is also of theoretical and practical interest that whether the observed process indeed satisfy the threshold model. In Chapter 3, we propose a likelihood ratio test scheme to test the existence of thresholds. It can test for non-linearity. Most importantly, we shall study how to price and predict value processes with nonlinear diffusion processes.be shown, under the null hypothesis of no threshold, the test statistics converges to a central Gaussian process asymptotically. Also the test is asymptotically powerful and the asymptotic distribution of the test statistic under the alternative hypothesis converge to a non-central Gaussian distribution. Further, the limiting distribution is the same as that of its discrete analogues for testing TAR(1) model against autoregressive model. Thus the upper percentage points of the asymptotic statistics for the discrete case are immediately applicable for our tests. Simulation studies are also conducted to show the empirical size and power of the tests. The application of our current method leads to more future work briefly discussed in Chapter 4. For example, we would like to extend our estimation methods to higher order and higher dimensional cases, use more general underlying mean processes, and most importantly, we shall study how to price and predict value processes with nonlinear diffusion processes.
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Simon, Marielle. "Problèmes de diffusion pour des chaînes d'oscillateurs harmoniques perturbées." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2014. http://tel.archives-ouvertes.fr/tel-01061443.

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L'équation de la chaleur est un phénomène macroscopique, émergeant après une limite d'échelle diffusive (en espace et en temps) d'un système d'oscillateurs couplés. Lorsque les interactions entre oscillateurs sont linéaires, l'énergie évolue de manière balistique, et la conductivité thermique est infinie. Certaines non-linéarités doivent donc apparaître au niveau microscopique, si l'on espère observer une diffusion normale. Pour apporter de l'ergodicité, on ajoute à la dynamique déterministe une perturbation stochastique qui conserve l'énergie. En premier lieu nous étudions la dynamique Hamiltonienne d'un système d'oscillateurs linéaires, perturbé par un bruit stochastique dégénéré conservatif. Ce dernier transforme à des temps aléatoires les vitesses en leurs opposées. On montre que l'évolution macroscopique du système est caractérisée par un système parabolique non-linéaire couplé pour les deux lois de conservation du modèle. Ensuite, nous supposons que les oscillateurs évoluent en environnement aléatoire. La perturbation stochastique est très dégénérée, et on prouve que le champ de fluctuations de l'énergie à l'équilibre converge vers un processus d'Ornstein-Uhlenbeck généralisé dirigé par l'équation de la chaleur.Il est désormais connu que les systèmes unidimensionnels présentent une diffusion anormale lorsque le moment total est conservé en plus de l'énergie. Dans une troisième partie, on considère deux perturbations, l'une préservant le moment, l'autre détruisant cette conservation. En faisant décroître l'intensité de la seconde perturbation, on observe une transition de phase entre un régime de diffusion normale et un régime de superdiffusion.
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Schüring, Andreas. "The probability that a molecule enters a porous crystal." Diffusion fundamentals 6 (2007) 32, S. 1-2, 2007. https://ul.qucosa.de/id/qucosa%3A14209.

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Evans, Denis J., Debra J. Searles, and Stephen R. Williams. "A simple mathematical proof of boltzmann's equal a priori probability hypothesis." Diffusion fundamentals 11 (2009) 57, S. 1-8, 2009. https://ul.qucosa.de/id/qucosa%3A14022.

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Using the Fluctuation Theorem (FT), we give a first-principles derivation of Boltzmann’s postulate of equal a priori probability in phase space for the microcanonical ensemble. Using a corollary of the Fluctuation Theorem, namely the Second Law Inequality, we show that if the initial distribution differs from the uniform distribution over the energy hypersurface, then under very wide and commonly satisfied conditions, the initial distribution will relax to that uniform distribution. This result is somewhat analogous to the Boltzmann H-theorem but unlike that theorem, applies to dense fluids as well as dilute gases and also permits a nonmonotonic relaxation to equilibrium. We also prove that in ergodic systems the uniform (microcanonical) distribution is the only stationary, dissipationless distribution for the constant energy ensemble.
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Heidernätsch, Mario, Daniela Täuber, Christian von Borczyskowski, and Günter Radons. "Investigations of heterogeneous diffusion based on the probability density of scaled squared displacements observed from single molecules in ultra-thin liquid films." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-191677.

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Diffusion processes in ultra-thin liquid films observed by video microscopy reveal a complex behavior. In contrast to homogeneous diffusion, dynamic and static heterogeneities are induced by layer transitions and compartments with differing diffusion coefficients, respectively. The objective of this research is the detection and distinction of such heterogeneities as well as an analysis of the underlying processes. Hence, a new method is proposed establishing a probability density of scaled squared displacements. This probability density allows for a simple and well-defined calculation of time-dependent diffusion coefficients and its fluctuations. Furthermore, by simulating a heterogeneous diffusion process these results are verified and compared to mean square displacement calculations. By means of the simulated probability density data, their dependency on the parameters is illustrated and further implications are pointed out.
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Bailleul, Ismaël. "Frontière de Poisson d'une diffusion relativiste." Paris 11, 2006. http://www.theses.fr/2006PA112251.

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Cette thèse a pour objet l'étude du comportement asymptotique d'une diffusion définie sur l'espace/temps de minkowski. Le pendant analytique de ce problème est la détermination de l'ensemble des fonctions bornées du noyau d'un certain opérateur différentiel d'ordre 2. Utilisant des méthodes probabilistes (équations différentielles stochastiques, couplage), on donne une description explicite de cet ensemble de fonctions. On donne dans le meme temps une toute autre démonstration de ce résultat, dans l'esprit de travaux sur les marches aléatoires existant déjà. On montre par ailleurs comment la géométrie de l'espace se reflète sur le comportement asymptotique de la diffusion. En un sens, une trajectoire (aléatoire) typique finit par se comporter comme un trajectoire de lumière
In this PhD thesis, we study the asymptotic behaviour of a diffusion defined on minkowski's spacetime. The analytic counterpart of this problem is to determine the set of bounded functions belonging to the kernel of some second order differential operator. Using probabilistic methods (stochastic differential equations, coupling), one gives an explicit description of this set of functions. In the same time, one give a completely different proof of this result, in the spirit of preexisting works on random walks on groups. Besides, one shows how the geometry of spacetime reflects on the asymptotic behaviour of the diffusion. In some sense, a typical (random) trajectory eventually behaves as a light ray
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Books on the topic "La probabilité de diffusion"

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S, Borkar Vivek, and Ghosh Mrinal K. 1956-, eds. Ergodic control of diffusion processes. Cambridge: Cambridge University Press, 2011.

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Eagle, James N. Estimating the probability of a diffusing target encountering a stationary sensor. Monterey, Calif: Naval Postgraduate School, 1985.

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Antonelli, P. L. Fundamentals of Finslerian Diffusion with Applications. Dordrecht: Springer Netherlands, 1999.

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T, Barlow M., Nualart David 1951-, Bernard P. 1944-, Barlow M. T, and Nualart David 1951-, eds. Lectures on probability theory and statistics: Ecole d'Eté de Probabilités de Saint-Flour XXV--1995. Berlin: Springer, 1998.

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G, Rogers L. C., ed. Diffusions, Markov processes and martingales. Chichester: Wiley, 1987.

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Rogers, L. C. G. Diffusions, Markov processes, and martingales. 2nd ed. Chichester, West Sussex, England: Wiley, 1994.

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1938-, Williams D., ed. Diffusions, Markov processes, and martingales. 2nd ed. Cambridge, U.K: Cambridge University Press, 2000.

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Fornari, Fabio. Recovering the probability density function of asset prices using GARCH as diffusion approximations. [Roma]: Banca d'Italia, 2001.

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Barbe, Philippe. Probabilité. Les Ulis, France: EDP Sciences, 2007.

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David, Williams, ed. Diffusions, Markov processes, and martingales: Foundations. Cambridge: Cambridge University Press, 2003.

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Book chapters on the topic "La probabilité de diffusion"

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Borodin, Andrei N. "Diffusion Processes." In Probability and Its Applications, 267–358. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62310-8_4.

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Durrett, Richard. "Diffusion Processes." In Probability and its Applications, 249–312. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-78168-6_7.

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Yin, G. George, and Chao Zhu. "Switching Diffusion." In Stochastic Modelling and Applied Probability, 27–67. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1105-6_2.

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Stroock, Daniel W., and S. R. Srinivasa Varadhan. "Some Estimates on the Transition Probability Functions." In Multidimensional Diffusion Processes, 208–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-28999-2_10.

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Kimura, Akatsuki. "Randomness, Diffusion, and Probability." In Quantitative Biology, 85–99. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5018-5_8.

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Ankele, Michael, and Thomas Schultz. "A Sheet Probability Index from Diffusion Tensor Imaging." In Computational Diffusion MRI, 141–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73839-0_11.

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Aja-Fernández, Santiago, Antonio Tristán-Vega, Malwina Molendowska, Tomasz Pieciak, and Rodrigo de Luis-García. "Return-to-Axis Probability Calculation from Single-Shell Acquisitions." In Computational Diffusion MRI, 29–41. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05831-9_3.

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Suciu, Nicolae. "Probability and Filtered Density Function Approaches." In Diffusion in Random Fields, 157–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15081-5_6.

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Hara, Keisuke, and Yoichiro Takahashi. "Lagrangian for pinned diffusion process." In Itô’s Stochastic Calculus and Probability Theory, 117–28. Tokyo: Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-68532-6_7.

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Kupiainen, A. "Diffusion in Random and Non-Linear PDE’s." In Probability and Phase Transition, 177–89. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-015-8326-8_10.

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Conference papers on the topic "La probabilité de diffusion"

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Wang, Yan. "Simulating Drift-Diffusion Processes With Generalized Interval Probability." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70699.

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The Fokker-Planck equation is widely used to describe the time evolution of stochastic systems in drift-diffusion processes. Yet, it does not differentiate two types of uncertainties: aleatory uncertainty that is inherent randomness and epistemic uncertainty due to lack of perfect knowledge. In this paper, a generalized Fokker-Planck equation based on a new generalized interval probability theory is proposed to describe drift-diffusion processes under both uncertainties, where epistemic uncertainty is modeled by the generalized interval while the aleatory one is by the probability measure. A path integral approach is developed to numerically solve the generalized Fokker-Planck equation. The resulted interval-valued probability density functions rigorously bound the real-valued ones computed from the classical path integral method. The new approach is demonstrated by numerical examples.
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Jiang, Tao, and Wu Zang. "Ruin Probability of Stop-Loss Reinsurance with Diffusion Term." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5301011.

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MAINARDI, Francesco, and Gianni PAGNINI. "SPACE-TIME FRACTIONAL DIFFUSION: EXACT SOLUTIONS AND PROBABILITY INTERPRETATION." In Proceedings of the 11th Conference on WASCOM 2001. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777331_0037.

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Taksar, Michael. "Ruin Probability Minimization and Dividend Distribution Optimization in Diffusion Models." In Proceedings of the 45th IEEE Conference on Decision and Control. IEEE, 2006. http://dx.doi.org/10.1109/cdc.2006.376935.

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Huang, Hao, Keqi Han, Beicheng Xu, and Ting Gan. "Reconstructing Diffusion Networks from Incomplete Data." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/428.

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To reconstruct the topology of a diffusion network, existing approaches customarily demand not only eventual infection statuses of nodes, but also the exact times when infections occur. In real-world settings, such as the spread of epidemics, tracing the exact infection times is often infeasible; even obtaining the eventual infection statuses of all nodes is a challenging task. In this work, we study topology reconstruction of a diffusion network with incomplete observations of the node infection statuses. To this end, we iteratively infer the network topology based on observed infection statuses and estimated values for unobserved infection statuses by investigating the correlation of node infections, and learn the most probable probabilities of the infection propagations among nodes w.r.t. current inferred topology, as well as the corresponding probability distribution of each unobserved infection status, which in turn helps update the estimate of unobserved data. Extensive experimental results on both synthetic and real-world networks verify the effectiveness and efficiency of our approach.
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Jadot, Hugo. "Etude Probabilité de Sûreté « Séisme »." In Nucléaire : les avancées dans la maitrise du risque sismique. Les Ulis, France: EDP Sciences, 2017. http://dx.doi.org/10.1051/jtsfen/2017cle08.

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Qi, Luo, and Zhang Yutian. "Stability in Probability of Partial Variables for Stochastic Reaction Diffusion Systems." In 2007 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.4347240.

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Shimony, Joshua S., Adrian A. Epstein, G. Larry Bretthorst, Kevin H. Knuth, Ariel Caticha, Julian L. Center, Adom Giffin, and Carlos C. Rodríguez. "Computing the Probability of Local Brain Connectivity using Diffusion Tensor Imaging." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING. AIP, 2007. http://dx.doi.org/10.1063/1.2821281.

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Eigenmann, L., J. Meisl, R. Koch, and S. Wittig. "Prediction of a spray diffusion flame by a probability density function approach." In 14th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-3370.

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Ishikawa, Tetsuya, and Tomohisa Hayakawa. "Extended gossip protocol for diffusion of multiple messages and its percolation probability." In 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011). IEEE, 2011. http://dx.doi.org/10.1109/cdc.2011.6160898.

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Reports on the topic "La probabilité de diffusion"

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Glynn, Peter W. Diffusion Approximations. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada212581.

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Stock, James, and Mark Watson. Diffusion Indexes. Cambridge, MA: National Bureau of Economic Research, August 1998. http://dx.doi.org/10.3386/w6702.

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Stokey, Nancy. Technology Diffusion. Cambridge, MA: National Bureau of Economic Research, July 2020. http://dx.doi.org/10.3386/w27466.

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Jovanovic, Boyan, and Glenn MacDonald. Competitive Diffusion. Cambridge, MA: National Bureau of Economic Research, September 1993. http://dx.doi.org/10.3386/w4463.

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Yang, T. Diffusion of Zonal Variables Using Node-Centered Diffusion Solver. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/924607.

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Dayananda, M. A., and R. Venkatasubramanian. Diffusion path representation for two-phase ternary diffusion couples. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/5851361.

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Trowbridge, L. Isotopic selectivity of surface diffusion: An activated diffusion model. Office of Scientific and Technical Information (OSTI), November 1989. http://dx.doi.org/10.2172/5462238.

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Hall, Bronwyn. Innovation and Diffusion. Cambridge, MA: National Bureau of Economic Research, January 2004. http://dx.doi.org/10.3386/w10212.

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Keller, Wolfgang. International Technology Diffusion. Cambridge, MA: National Bureau of Economic Research, October 2001. http://dx.doi.org/10.3386/w8573.

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Suuberg, E., Y. Otake, and Y. Sezen. Diffusion in coals. Office of Scientific and Technical Information (OSTI), April 1990. http://dx.doi.org/10.2172/6781207.

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