Relevant bibliographies by topics / Empirical processes

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Empirical processes'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 June 2024

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Journal articles on the topic "Empirical processes"

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Massart, Pascal. "empirical processes." Annals of Probability 28, no. 2 (April 2000): 863–84. http://dx.doi.org/10.1214/aop/1019160263.

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Wellner, Jon A., and Jon Einmahl. "Multivariate Empirical Processes." Journal of the American Statistical Association 84, no. 406 (June 1989): 627. http://dx.doi.org/10.2307/2289976.

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Stute, Winfried. "Conditional Empirical Processes." Annals of Statistics 14, no. 2 (June 1986): 638–47. http://dx.doi.org/10.1214/aos/1176349943.

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Jurečková, Jana, Jan Picek, and Martin Schindler. "Empirical regression quantile processes." Applications of Mathematics 65, no. 3 (May 25, 2020): 257–69. http://dx.doi.org/10.21136/am.2020.0295-19.

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Csörgő, Miklós, and Lajos Horváth. "Weighted empirical spacings processes." Canadian Journal of Statistics 14, no. 3 (September 1986): 221–32. http://dx.doi.org/10.2307/3314799.

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Pollard, David. "Asymptotics via Empirical Processes." Statistical Science 4, no. 4 (November 1989): 341–54. http://dx.doi.org/10.1214/ss/1177012394.

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Vu, Vincent Q., and Jing Lei. "Squared-norm empirical processes." Statistics & Probability Letters 150 (July 2019): 108–13. http://dx.doi.org/10.1016/j.spl.2019.02.008.

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Ruymgaart, F. H., and M. C. A. van Zuijlen. "Empirical U-statistics processes." Journal of Statistical Planning and Inference 32, no. 2 (August 1992): 259–69. http://dx.doi.org/10.1016/0378-3758(92)90051-s.

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Csörgő, Miklós, and Lajos Horváth. "Rényi-type empirical processes." Journal of Multivariate Analysis 41, no. 2 (May 1992): 338–58. http://dx.doi.org/10.1016/0047-259x(92)90073-o.

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Deheuvels, Paul, and Gérard Derzko. "Spacings-ratio empirical processes." Periodica Mathematica Hungarica 61, no. 1-2 (September 2010): 121–64. http://dx.doi.org/10.1007/s10998-010-3121-0.

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Dissertations / Theses on the topic "Empirical processes"

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Tusche, Marco. "Empirical processes of multiple mixing data." Thesis, Tours, 2013. http://www.theses.fr/2013TOUR4033/document.

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Cette thèse étudie la convergence en loi des processus empiriques de données à mélange multiple. Son contenu correspond aux articles : Durieu et Tusche (2012), Dehling, Durieu, et Tusche (2012), et Dehiing, Durieu et Tusche (2013). Nous suivons l’approche par approximation introduite dans Dehling, Durieu, et Vo1n (2009) et Dehling and Durieu (2011), qui ont établi des théorèmes limite centraux empiriques pour des variables aléatoires dépendants à valeurs dans R ou RAd, respectivement. En développant leurs techniques, nous généralisons leurs résultats à des espaces arbitraires et à des processus empiriques indexés par des classes de fonctions. De plus, nous étudions des processus empiriques séquentiels. Nos résultats s’appliquent aux chaînes de Markov B-géométriquement ergodiques, aux modèles itératifs lipschitziens, aux systèmes dynamiques présentant un trou spectral pour l’opérateur de Perron-Frobenius associé, ou encore, aux automorphismes du tore. Nous établissons des conditions garantissant la convergence du processus empirique de tels modèles vers un processus gaussien
The present thesis studies weak convergence of empirical processes of multiple mixing data. It is based on the articles Durieu and Tusche (2012), Dehling, Durieu, and Tusche (2012), and Dehling, Durieu, and Tusche (2013). We follow the approximating class approach introduced by Dehling, Durieu, and Voln (2009)and Dehling and Durieu (2011), who established empirical central limit theorems for dependent R- and R”d-valued random variables, respectively. Extending their technique, we generalize their results to arbitrary state spaces and to empirical processes indexed by classes of functions. Moreover we study sequential empirical processes. Our results apply to B-geometrically ergodic Markov chains, iterative Lipschitz models, dynamical systems with a spectral gap on the Perron—Frobenius operator, and ergodic toms automorphisms. We establish conditions under which the empirical process of such processes converges weakly to a Gaussian process
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Xie, Chen. "DYNAMIC DECISION APPROXIMATE EMPIRICAL REWARD (DDAER) PROCESSES." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398991609.

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Forster, Emma. "Migration decision-making processes : an empirical investigation." Thesis, Edinburgh Napier University, 2000. http://researchrepository.napier.ac.uk/Output/3711.

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This thesis has two purposes. The first is to investigate the motivation for household migration - in particular, the associations between the different reasons for moving and the characteristics of owner-occupier movers in Scotland, their houses and the distances they travel. The second is to investigate the extent to which the migration decision is a longitudinal one, and from this longitudinal analysis to highlight the extent of latent migration. Little longitudinal research has previously been carried out on the migration decision. The thesis uses two recent, large-scale and under-utilised data sources to investigate each of these issues. Firstly, the associations with motivations for migration are investigated using the 'Migration and Housing Choice Survey' (MHCS) which contains information from 10,010 households. The advantage of this cross-sectional source lies in its provision of detailed information on motivations at a national level of coverage. The large-scale, national coverage makes it possible to investigate many types of migration flow. This advantage is not shared by any other British research into motivations for migration and only three other data sets elsewhere. Secondly, the extent to which the decision to n-iigrate is part of an on-going process is investigated using the 'British Household Panel Survey' (BBPS). This new and under-exploited source of migration data contains longitudinal information from 10,264 individuals in the first wave and holds approximately this sample size through each of the following four waves. This thesis makes four key contributions to knowledge. The first three are based on the detailed and systematic analysis of the reasons for residential migration behaviour of owner-occupiersin Scotland,u sing the MHCS. Firstly, the reasonsf or moving, as suggestedb y previously small-scaler esearch,h ave been confirmed by this large-scale data set. Secondly, this thesis has extended - and in some cases refuted - the findings of previous researchb y investigatingt he bivariate associationsb etween each of the reasons for moving and each possible explanatory variables (these being characteristicso f migrants, of their home and of the distancest hey move). This has been investigated using much wider selection of reasons for moving and of characteristicsth an hasb eenp reviouslyd one. Thirdly, this thesish as shown that lifecycle stage exerts a considerable amount of influence on the reasons given for moving, whilst still operating in conjunction with other variables, such as distance moved and housing features. The MIHCS can, for the first time, enable research into the connection between the factors influencing migration flows and the factors influencing motivations for migration. Fourthly, this thesis has investigated how migration decisions and preference for migration relate over time, using longitudinal data (the BHPS). This has shown that a considerable amount of latent mobility is present in Britain, and even more importantly, has identified the characteristics of the latent migrants and frequent movers. In addition, this thesis has offered some methodological pointers for future migration research. Overall, the use of these two important but under-utilised data sets, the MECS and the BBPS, have enabled analyses to be undertaken that are unique in the history of nýgration research. V
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Karimi, Fariba. "Tightly knit : spreading processes in empirical temporal networks." Doctoral thesis, Umeå universitet, Institutionen för fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-98885.

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We live in a tightly knit world. Our emotions, desires, perceptions and decisions are interlinked in our interactions with others. We are constantly influencing our surroundings and being influenced by others. In this thesis, we unfold some aspects of social and economical interactions by studying empirical datasets. We project these interactions into a network representation to gain insights on how socio-economic systems form and function and how they change over time. Specifically, this thesis is centered on four main questions: How do the means of communication shape our social network structures? How can we uncover the underlying network of interests from massive observational data? How does a crisis spread in a real financial network? How do the dynamics of interaction influence spreading processes in networks? We use a variety of methods from physics, psychology, sociology, and economics as well as computational, mathematical and statistical analysis to address these questions.
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Bühlmann, Peter Lukas Bühlmann Peter Lukas Bühlmann Peter Lukas. "The blockwise bootstrap in time series and empirical processes /." Zürich, 1993. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10354.

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Hoppitt, W. J. E. "Social processes influencing learning : combining theoretical and empirical approaches." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604231.

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There are a number of processes which can result in social transmission of behaviour patterns; so much effort in social learning research has gone into devising experimental procedures that can isolate imitation from other social learning processes. In this thesis I develop method for distinguishing “simple” social learning processes and test these methods using the domestic fowl as a model organism. Strong evidence is presented for a response facilitation effect on a number of behaviour patterns, a process which might function to the same ends as imitation in animal populations. Recent models have suggested that an ability to imitate might be dependent on prior experience rather than specialised learning mechanisms. A neural network model is used to investigate these hypotheses, and generate predictions as to the conditions under which a capacity for imitation should arise. The model predicts that processes such as behavioural synchrony between individuals might result in the formation of appropriate neural links for an imitative ability. These predictions are tested using experimental and observational data on the domestic fowl. The model also suggests that similar mechanisms and developmental processes might underlie imitation and simpler social learning processes, such as response facilitation and observational conditioning. This suggests that a process of positive feedback might operate, with social learning promoting behavioural synchrony, which in turn promotes the development of social learning mechanisms.
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Al-Besbasi, Ibrahim. "An empirical investigation of some cognitive processes of translation." Thesis, University of Exeter, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280690.

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Kawczak, Janusz. "Weak convergence of a certain class of residual empirical processes." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0014/NQ31159.pdf.

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Cockburn, A. D. "An empirical study of classroom processes in infant mathematics education." Thesis, University of East Anglia, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374687.

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Zhou, Bi Ting. "Testing for jumps of discretely observed processes :an empirical analysis." Thesis, University of Macau, 2015. http://umaclib3.umac.mo/record=b3335821.

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Books on the topic "Empirical processes"

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Pollard, David. Empirical Processes. Haywood CA and Alexandria VA: Institute of Mathematical Statistics and American Statistical Association, 1990. http://dx.doi.org/10.1214/cbms/1462061091.

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Multivariate empirical processes. Amsterdam, Netherlands: Centrum voor Wiskunde en Informatica, 1987.

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Gaenssler, Peter, and Winfried Stute. Seminar on Empirical Processes. Basel: Birkhäuser Basel, 1987. http://dx.doi.org/10.1007/978-3-0348-6269-1.

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1946-, Stute W., and Seminar on Empirical Processes (1985 : Düsseldorf, Germany), eds. Seminar on Empirical Processes. Basel: Birkhäuser Verlag, 1987.

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van der Vaart, Aad W., and Jon A. Wellner. Weak Convergence and Empirical Processes. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2545-2.

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David, Pollard. Empirical processes: Theory and applications. Hayward, Calif: Institute of Mathematical Statistics, 1990.

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S. A. van de Geer. Regression analysis and empirical processes. Amsterdam, the Netherlands: Centrum voor Wiskunde en Informatica, 1988.

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A. W. van der Vaart. Weak convergence and empirical processes. New York: Springer, 1996.

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Sara A. van de Geer. Empirical Processes in M-Estimation. New York, USA: University of Cambridge ESOL Examinations, 2009.

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van der Vaart, A. W., and Jon A. Wellner. Weak Convergence and Empirical Processes. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29040-4.

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Book chapters on the topic "Empirical processes"

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Giné, Evarist. "Empirical Processes." In International Encyclopedia of Statistical Science, 433–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_229.

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Jiang, Jiming. "Empirical Processes." In Springer Texts in Statistics, 215–38. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6827-2_7.

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Jiang, Jiming. "Empirical Processes." In Springer Texts in Statistics, 235–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91695-4_7.

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Vaart, A. W. van der, and Jon A. Wellner. "Empirical Processes." In Weak Convergence and Empirical Processes, 127–384. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29040-4_2.

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Dickhaus, Thorsten. "Empirical Measures, Empirical Processes." In Theory of Nonparametric Tests, 25–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76315-6_2.

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Ray, Hem Shanker, and Saradindukumar Ray. "Empirical and Semi-Empirical Kinetics." In Kinetics of Metallurgical Processes, 17–53. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0686-0_2.

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van der Vaart, Aad W., and Jon A. Wellner. "Independence Empirical Processes." In Weak Convergence and Empirical Processes, 367–71. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-2545-2_34.

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Gaenssler, Peter, and Winfried Stute. "Conditional empirical processes." In DMV Seminar, 40–48. Basel: Birkhäuser Basel, 1987. http://dx.doi.org/10.1007/978-3-0348-6269-1_4.

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Talagrand, Michel. "Empirical Processes, II." In Upper and Lower Bounds for Stochastic Processes, 433–56. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82595-9_14.

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Csörgő, Miklós, Sándor Csörgő, and Lajos Horváth. "Empirical Lorenz Processes." In An Asymptotic Theory for Empirical Reliability and Concentration Processes, 95–96. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4615-6420-1_11.

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Conference papers on the topic "Empirical processes"

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Raginsky, Maxim. "Empirical processes and typical sequences." In 2010 IEEE International Symposium on Information Theory - ISIT. IEEE, 2010. http://dx.doi.org/10.1109/isit.2010.5513601.

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Pichler, Peter. "Empirical cluster modeling revisited." In 2016 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD). IEEE, 2016. http://dx.doi.org/10.1109/sispad.2016.7605143.

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Shull, Forrest, Jeffrey Carver, and Guilherme H. Travassos. "An empirical methodology for introducing software processes." In the 8th European software engineering conference held jointly with 9th ACM SIGSOFT international symposium. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/503209.503248.

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Vovk, Olha, Alona Kovalchuk, and Oksana Sobchuk. "INNOVATIVE PROVIDING IN ENTERPRISE MODERNIZATION PROCESSES." In THEORETICAL AND EMPIRICAL SCIENTIFIC RESEARCH: CONCEPT AND TRENDS. European Scientific Platform, 2020. http://dx.doi.org/10.36074/24.07.2020.v1.09.

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Shabunina, Viktoriia. "MAIN LINGUISTIC BARRIERS OF GLOBALIZATION PROCESSES." In THEORETICAL AND EMPIRICAL SCIENTIFIC RESEARCH: CONCEPT AND TRENDS. European Scientific Platform, 2020. http://dx.doi.org/10.36074/24.07.2020.v2.42.

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Zhao, Xin, Prabhanjana Kalya, Robert G. Landers, and K. Krishnamurthy. "Empirical Dynamic Modeling of Friction Stir Welding Processes." In ASME 2007 International Manufacturing Science and Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/msec2007-31047.

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Current Friction Stir Welding (FSW) process modeling research is concerned with the detailed analysis of local effects such as material flow, heat generation, etc. These detailed thermo-mechanical models are typically solved using finite element or finite difference schemes and require substantial computational effort to determine temperature, forces, etc. at a single point in time. Dynamic models describing the total forces acting on the tool throughout the entire welding process are required for the design of feedback control strategies and improved process planning and analysis. In this paper, empirical models relating the process parameters (i.e., plunge depth, traverse rate, and rotation speed) to the process variables (i.e., axial, traverse, and lateral forces) are developed to understand their dynamic relationship. First, the steady-state relationship between the process parameters and variables is constructed, and the relative importance of each process parameter on each process variable is determined. Next, the dynamic process response characteristics are determined using Recursive Least-Squares. The results indicate that the steady-state relationship between the process parameters and variables is well characterized by a nonlinear power relationship, and the dynamic responses are well characterized by low-order linear equations. Experiments are conducted that validate the developed FSW dynamic models.
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Kaliyagina, L., J. Mopoz, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Methods of Empirical Data Processing in Developing Processes." In ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010. AIP, 2010. http://dx.doi.org/10.1063/1.3497818.

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Kohitlhetse, Itumeleng, Hilary Rutto, Kentse Motsetse, Malibongwe S. Manono, and Moshe Mello. "Semi-Empirical Modelling for Dissolution of Calcium from Ironmaking Slag in Ammonium Acetate for CO2 Utilization." In International Electronic Conference on Processes. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/ecp2023-14743.

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Hsieh, Hsiang-Feng, and Jeffrey D. Ward. "Empirical trajectories for batch crystallization control with constraints." In 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP). IEEE, 2017. http://dx.doi.org/10.1109/adconip.2017.7983801.

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Abrantes, Jose Fortuna, and Guilherme Horta Travassos. "Common Agile Practices in Software Processes." In 2011 5th International Symposium on Empirical Software Engineering and Measurement (ESEM). IEEE, 2011. http://dx.doi.org/10.1109/esem.2011.47.

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Reports on the topic "Empirical processes"

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Guvenen, Fatih. An Empirical Investigation of Labor Income Processes. Cambridge, MA: National Bureau of Economic Research, September 2007. http://dx.doi.org/10.3386/w13394.

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Chernozhukov, Victor, Denis Chetverikov, and Kengo Kato. Gaussian approximation of suprema of empirical processes. Institute for Fiscal Studies, December 2012. http://dx.doi.org/10.1920/wp.cem.2012.4412.

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Chernozhukov, Victor, Denis Chetverikov, and Kengo Kato. Gaussian approximation of suprema of empirical processes. The IFS, December 2013. http://dx.doi.org/10.1920/wp.cem.2013.7513.

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Chernozhukov, Victor, Denis Chetverikov, and Kengo Kato. Gaussian approximation of suprema of empirical processes. The IFS, August 2016. http://dx.doi.org/10.1920/wp.cem.2016.4116.

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Kato, Kengo, Victor Chernozhukov, and Denis Chetverikov. Empirical and multiplier bootstraps for suprema of empirical processes of increasing complexity, and related Gaussian couplings. The IFS, August 2016. http://dx.doi.org/10.1920/wp.cem.2016.3816.

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Adler, Robert J., and Gennady Samorodnitsky. Tail Behavior for the Suprema of Gaussian Processes with a View Towards Empirical Processes. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada166151.

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Kuo, Lynn. A Note on Bayes Empirical Bayes Estimation by Means of Dirichlet Processes. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada170039.

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Schuck-Zöller, Susanne, Sebastian Bathiany, Markus Dressel, Juliane El Zohbi, Elke Keup-Thiel, Diana Rechid, and Suhari Mirko. Developing criteria of successful processes in co-creative research. A formative evaluation scheme for climate services. Fteval - Austrian Platform for Research and Technology Policy Evaluation, April 2022. http://dx.doi.org/10.22163/fteval.2022.541.

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Climate change and its socio-ecological impacts affect all sectors of society. To tackle the multiple risks of climate change the field of climate services evolved during the last decades. In this scientific field products to be applied in practice are developed in constant interaction between climate service providers and users. To judge the effectiveness of these co-creation endeavours, evaluation is crucial. At present, output and outcome assessments are conducted occasionally in this research field. However, the summative evaluation does not help to adjust the ongoing process of co-creation. Thus, our work focuses on the formative evaluation of co-creative development of science-based climate service products. As the first step, main characteristics of the product development process were identified empirically. Secondly, we determined the six sub- processes of climate service product development and related process steps. Thirdly, we selected the questions for the formative evaluation relevant to all the sub-processes and process-steps. Then, a literature review delivered the theoretical background for further work and revealed further quality aspects. These aspects from literature were brought together with our results from the empirical work. In the end, we created a new scheme of quality criteria and related assessment questions for the different sub-processes in climate services, based on both, empirical and theoretical work. As the authors take into account the process of co-production in a real-life case, the criteria and assessment questions proposed are operational and hands-on. The quality aspects refer to the five principles of applicability, theoretical and empirical foundation, professionalism, transparency of processes and the disclosure of preconditions. They are elaborated comprehensively in our study. The resulting formative evalu- ation scheme is novel in climate service science and practice and useful in improving the co-creation processes in climate services and beyond.
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Sharma, S. Agricultural Transformation Processes in the Mountains of Nepal: Empirical Evidence from Ilam District. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 1997. http://dx.doi.org/10.53055/icimod.250.

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Sharma, S. Agricultural Transformation Processes in the Mountains of Nepal: Empirical Evidence from Ilam District. Kathmandu, Nepal: International Centre for Integrated Mountain Development (ICIMOD), 1997. http://dx.doi.org/10.53055/icimod.250.

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