Дисертації з теми "Deviation estimates"
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Kim, Tae-Hwan. "The shrinkage least absolute deviation estimator in large samples and its application to the Treynor-Black model /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9901433.
Повний текст джерелаDu, Roy de Chaumaray Marie. "Estimation statistique des paramètres pour les processus de Cox-Ingersoll-Ross et de Heston." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0299/document.
Повний текст джерелаThe Cox-Ingersoll-Ross process and the Heston process are widely used in financial mathematics for pricing and hedging or to model interest rates. In this thesis, we focus on estimating their parameters using continuous-time observations. Firstly, we restrict ourselves to the most tractable situation where the CIR processis geometrically ergodic and does not vanish. We establish a large deviations principle for the maximum likelihood estimator of the couple of dimensionnal and drift parameters of a CIR process. Then we establish a moderate deviations principle for the maximum likelihood estimator of the four parameters of an Heston process, as well as for the maximum likelihood estimator of the couple of parameters of a CIR process. In contrast to the previous literature, parameters are estimated simultaneously. Secondly, we do not restrict ourselves anymore to the case where the CIR process never reaches zero and we introduce a new weighted least squares estimator for the quadruplet of parameters of an Heston process. We establish its strong consitency and asymptotic normality, and we illustrate numerically its good performances
Neves, Andrea Marolt Pimenta. "A Comparison of Implied Standard Deviations and Historical Estimates of Volatility During and After the Participation of the British Pound in the ERM." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/31593.
Повний текст джерелаMaster of Arts
Gendron, Paul John. "A comparison of digital beacon receiver frequency estimators." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-09292009-020307/.
Повний текст джерелаEchiejile, Faith. "Analysis of Monthly Suspended Sediment Load in Rivers and Streams Using Linear Regression and Similar Precipitation Data." Youngstown State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1629203139818238.
Повний текст джерелаWEY, SYLVIANE. "1. Un test du nombre de modes. 2. Un estimateur du minimum d'entropie sous une contrainte non lineaire. 3. Un theoreme limite local. Application aux probabilites de deviation d'estimateurs." Paris 6, 1995. http://www.theses.fr/1995PA066234.
Повний текст джерелаSalem, Samir. "Limite de champ moyen et propagation du chaos pour des systèmes de particules avec interaction discontinue." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0387/document.
Повний текст джерелаIn this thesis, we study some propagation of chaos and mean field limit problems arising in modelisation of collective behavior of individuals or particles. Particularly, we set ourselves in the case where the interaction between the individuals/particles is discontinuous. The first work establihes the propagation of chaos for the 1d Vlasov-Poisson-Fokker-Planck equation. More precisely, we show that the distribution of particles evolving on the real line and interacting through the sign function converges to the solution of the 1d VPFP equation, in probability by large deviations-like techniques, and in expectation by law of large numbers-like techniques. In the second work, we study a variant of the Cucker-Smale, where the communication weight is the indicatrix function of a cone which orientation depends on the velocity of the individual. Some weak-strong stability estimate in M.K.W. distance is obtained for the limit equation, which implies the mean field limit. The third work consists in adding some diffusion in velocity to the model previously quoted. However one must add some truncated diffusion in order to preserve a system in which velocities remain unifomrly bounded. Finally we study a variant of the aggregation equation where the interaction between individuals is also given by a cone which orientation depends on the position of the individual. In this case we are only able to provide some weak-strong stability estimate in $W_\infty$ distance, and the problem must be set in a bounded domain for the case with diffusion
Bitseki, Penda Siméon Valère. "Inégalités de déviations, principe de déviations modérées et théorèmes limites pour des processus indexés par un arbre binaire et pour des modèles markoviens." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00822136.
Повний текст джерелаRummens, François. "Systèmes intégrés pour l'hybridation vivant-artificiel : modélisation et conception d'une chaîne de détection analogique adaptative." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0431/document.
Повний текст джерелаBioelectronics is a transdisciplinary field which develops interconnection devicesbetween biological systems presenting electrical activity and the world of electronics. Thiscommunication with living tissues implies to observe the electrical activity of the cells andtherefore requires an electronic acquisition chain.The use of Multi / Micro Electrode Array leads to systems that acquire a large numberof parallel channels, thus consumption and congestion of acquisition circuits have asignificant impact on the viability of the system to be implanted.This thesis proposes two reflections about these acquisition circuits. One of thesereflections relates to amplifier circuits, their input impedance and consumption; the otherconcerns an analogue action potentials detector, its modeling and optimization.These theoretical work leading to concrete results, an ASIC was designed,manufactured, tested and characterized in this thesis. This eight-channel ASIC thereforeincludes amplifiers and analogue action potentials detector and is the main contribution of thisthesis
Chinot, Geoffrey. "Localization methods with applications to robust learning and interpolation." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAG002.
Повний текст джерелаThis PhD thesis deals with supervized machine learning and statistics. The main goal is to use localization techniques to derive fast rates of convergence, with a particular focus on robust learning and interpolation problems.Localization methods aim to analyze localized properties of an estimator to obtain fast rates of convergence, that is rates of order O(1/n), where n is the number of observations. Under assumptions, such as the Bernstein condition, such rates are attainable.A robust estimator is an estimator with good theoretical guarantees, under as few assumptions as possible. This question is getting more and more popular in the current era of big data. Large dataset are very likely to be corrupted and one would like to build reliable estimators in such a setting. We show that the well-known regularized empirical risk minimizer (RERM) with Lipschitz-loss function is robust with respect to heavy-tailed noise and outliers in the label. When the class of predictor is heavy-tailed, RERM is not reliable. In this setting, we show that minmax Median of Means estimators can be a solution. By construction minmax-MOM estimators are also robust to an adversarial contamination.Interpolation problems study learning procedure with zero training error. Surprisingly, in large dimension, interpolating the data does not necessarily implies over-fitting. We study a high dimensional Gaussian linear model and show that sometimes the over-fitting may be benign
Paditz, Ludwig. "Über die Annäherung der Verteilungsfunktionen von Summen unabhängiger Zufallsgrößen gegen unbegrenzt teilbare Verteilungsfunktionen unter besonderer Beachtung der Verteilungsfunktion der standardisierten Normalverteilung." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-114206.
Повний текст джерелаWith the presented work new contributions to basic research in the field of limit theorems of probability theory are given. Limit theorems for sums of independent random variables taking on the most diverse lines of research in probability theory an important place in modern times and are no longer only of theoretical interest. In the work results are presented to newer problems on the summation theory of independent random variables, at first time in the fifties and sixties of the 20th Century appeared in the literature and have been studied in the past few years with great interest. International two main directions have emerged in the theory of limit theorems: Firstly, the questions on the convergence speed of a cumulative distribution function converges to a predetermined limit distribution function, and on the other hand the questions on an error estimate for the limit distribution function at a finite summation process. First indefinite divisible limit distribution functions are considered, then the normal distribution is specifically discussed as a limit distribution. As characteristic parameters both moments or one-sided moments or pseudo-moments are used. The error estimates are stated both in uniform as well as non-uniform residual bounds including a description of the occurring absolute constants. Both the method of characteristic functions as well as direct methods (convolution method) can be further expanded as proof methods. Now for the error estimate, 1965 given by Bikelis, was the first time to estimate the appearing absolute constant C with C = 114.667 numerically. Furthermore, in the work of so-called limit theorems for moderate deviations are studied. Here also remainder estimates are derived for the first time. In recent years to the proof of limit theorems the chosen way of the convolution of distribution functions proved to be groundbreaking and determined the development of both the theory of limit theorems for moderate and large deviations as well as the investigation into the nonuniform estimates in the central limit theorem significantly. The convolution method is in the present thesis, the main instrument of proof. Thus, it was possible to obtain a series of results and obtain new numerical results in particular by means of electronic data processing
Paditz, Ludwig. "Beiträge zur expliziten Fehlerabschätzung im zentralen Grenzwertsatz." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-115105.
Повний текст джерелаIn the work the asymptotic behavior of suitably centered and normalized sums of random variables is investigated, which are either independent or occur in the case of dependence as a sequence of martingale differences or a strongly multiplicative system. In addition to the classical theory of summation limiting processes are considered with an infinite summation matrix or an adapted sequence of weighting functions. It will be further developed the method of characteristic functions, and especially the direct method of the conjugate distribution functions to prove quantitative statements about uniform and non-uniform error estimates of the remainder term in central limit theorem. The investigations are realized in the Lp metric, 1
Wong, Men-Wei, and 翁孟瑋. "Momentum Deviation: A New Volatility Estimator." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/x22f29.
Повний текст джерела國立交通大學
財務金融研究所
104
This study proposes a new volatility Estimator named momentum deviation which combines the advantages of both return and range measure. We develop two different momentum deviation volatility models called GARCH-MD and CARR-MD based on the Generalized Autoregressive Conditional Heteroskedasticity model (GARCH) and the Conditional Autoregressive Range model (CARR) which allows separate dynamic structures for the positive and negative momentum of assets prices. By using stock market index data including AORD, DAX, FTSE, Heng Seng, Nikkei225 and S&P500, we show that the GARCH-MD and the CARR-MD do provide sharper volatility estimates compared with GARCH and CARR model in our out-of-sample volatility forecasts.
詹為仁. "Global measure of deviation for the difference of kernel density estimators and its applications." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/84029628337598207923.
Повний текст джерелаLiu, Chiu-Ling, and 劉秋玲. "The Comparison on the Estimators of the Process Standard Deviation for the Non-normally Distributed data." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/45109275173396641685.
Повний текст джерела義守大學
工業管理學系
90
It has become more important to monitor the whole process effectively under the considerations of the economical factors and complicated manufacturing processes. The statistical approaches are utilized frequently in quality-related issues during the past decades and the standard deviation is a good way to present the characteristics of process variation and dispersion. Encountering a problem, people usually assumed that the data had a behavior of normal distribution. Unfortunately, this is not always true. And the misinterpretations can easily lead to inevitable and unavoidable losses. The objective of this study is to explore the effectiveness of process standard deviations of various non-normal distributions such as the Exponential, Gamma, and Poisson distributions. The estimator model of standard deviation of each distribution was first derived. The random number generator was then employed to verify the validation of the model in order to obtain the most appropriate estimator for the standard deviation of each distribution. Finally, the obtained results were compared to the effectiveness of normal distribution. The results verified that there are significant differences among the efficiency of the four standard deviation estimators when various probability density functions were used. The results of this study are very valuable to the practical usage and can be applied to a non-normal distributed data. Under such a situation, the appropriate estimators would lead to more accurate results and reduce the risk of misinterpretation.
Gomes, André de Oliveira. "Forward backward stochastic differential equations: existence, uniqueness, a large deviations principle and connections with partial differential equations." Master's thesis, 2011. http://hdl.handle.net/10451/8447.
Повний текст джерелаWe consider Forward Backward Stochastic Differential Equations (FBSDEs for short) with different assumptions on its coefficients. In a first part we present results of existence, uniqueness and dependence upon initial conditions and on the coefficients. There are two main methodologies employed in this study. The first one presented is the Four Step Scheme, which makes very clear the connection of FBSDEs with quasilinear parabolic systems of Partial Differential Equations (PDEs for short). The weakness of this methodology is the smoothness and regularity assumptions recquired on the coefficients of the system, which motivate the employment of Banach`s Fixed Point Theorem in the study of existence and uniqueness results. This classic analytical tool requires less regularity on the coefficients, but gives only local existence of solution in a small time duration. In a second stage, with the help of the previous work with a running-down induction on time, we can assure the existence and uniqueness of solution for the FBSDE problem in global time. The second goal of this work is the study of the assymptotic behaviour of the FBSDEs solutions when the diffusion coefficient of the forward equation is multiplicatively perturbed with a small parameter that goes to zero. This question adresses the problem of the convergence of the classical/viscosity solutions of the quasilinear parabolic system of PDEs associated to the system. When this quasilinear parabolic system of PDEs takes the form of the backward Burgers Equation, the problem is the convergence of the solution when the viscosity parameter goes to zero. To study conveniently this problem with a probabilistic approach , we present a concise survey of the classical Large Deviations Principles and the basics of the so-called "Freidlin-Wentzell Theory". This theory is mainly concerned with the study of the Itô Diffusions with the diffusion term perturbed by a small parameter that converges to zero and the richness of properties of the FBSDEs shows us that (even in a coupled FBSDE system) this approach is a good one, since we can extract for the solutions of the perturbed systems a Large Deviations Principle and state convergence of the perturbed solutions to a solution of a deterministic system of ordinary differential equations.
Beirão, Fábio Duarte. "Netodyssey: a framework for real-time windowed analysis of network traffic." Master's thesis, 2010. http://hdl.handle.net/10400.6/3718.
Повний текст джерелаFundação para a Ciência e a Tecnologia (FCT)
Ouimet, Frédéric. "Extremes of log-correlated random fields and the Riemann zeta function, and some asymptotic results for various estimators in statistics." Thèse, 2019. http://hdl.handle.net/1866/22667.
Повний текст джерелаPaditz, Ludwig. "Beiträge zur expliziten Fehlerabschätzung im zentralen Grenzwertsatz." Doctoral thesis, 1988. https://tud.qucosa.de/id/qucosa%3A26930.
Повний текст джерелаIn the work the asymptotic behavior of suitably centered and normalized sums of random variables is investigated, which are either independent or occur in the case of dependence as a sequence of martingale differences or a strongly multiplicative system. In addition to the classical theory of summation limiting processes are considered with an infinite summation matrix or an adapted sequence of weighting functions. It will be further developed the method of characteristic functions, and especially the direct method of the conjugate distribution functions to prove quantitative statements about uniform and non-uniform error estimates of the remainder term in central limit theorem. The investigations are realized in the Lp metric, 1