Empirical Processes with Applications to Statistics

Empirical Processes with Applications to Statistics PDF Author: Galen R. Shorack
Publisher: SIAM
ISBN: 0898719011
Category : Mathematics
Languages : en
Pages : 992

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Book Description
Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables; applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods; and a summary of inequalities that are useful for proving limit theorems. At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition. Audience: researchers in statistical theory, probability theory, biostatistics, econometrics, and computer science.

Empirical Processes with Applications to Statistics

Empirical Processes with Applications to Statistics PDF Author: Galen R. Shorack
Publisher: SIAM
ISBN: 0898719011
Category : Mathematics
Languages : en
Pages : 992

Get Book

Book Description
Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables; applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods; and a summary of inequalities that are useful for proving limit theorems. At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition. Audience: researchers in statistical theory, probability theory, biostatistics, econometrics, and computer science.

Introduction to Empirical Processes and Semiparametric Inference

Introduction to Empirical Processes and Semiparametric Inference PDF Author: Michael R. Kosorok
Publisher: Springer Science & Business Media
ISBN: 0387749780
Category : Mathematics
Languages : en
Pages : 482

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Book Description
Kosorok’s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.

Empirical Process Techniques for Dependent Data

Empirical Process Techniques for Dependent Data PDF Author: Herold Dehling
Publisher: Springer Science & Business Media
ISBN: 1461200997
Category : Mathematics
Languages : en
Pages : 378

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Book Description
Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model the dependence structure in data sets from many different subject areas such as finance, insurance, and telecommunications has led to new developments concerning the empirical distribution function and the empirical process for dependent, mostly stationary sequences. This work gives an introduction to this new theory of empirical process techniques, which has so far been scattered in the statistical and probabilistic literature, and surveys the most recent developments in various related fields. Key features: A thorough and comprehensive introduction to the existing theory of empirical process techniques for dependent data * Accessible surveys by leading experts of the most recent developments in various related fields * Examines empirical process techniques for dependent data, useful for studying parametric and non-parametric statistical procedures * Comprehensive bibliographies * An overview of applications in various fields related to empirical processes: e.g., spectral analysis of time-series, the bootstrap for stationary sequences, extreme value theory, and the empirical process for mixing dependent observations, including the case of strong dependence. To date this book is the only comprehensive treatment of the topic in book literature. It is an ideal introductory text that will serve as a reference or resource for classroom use in the areas of statistics, time-series analysis, extreme value theory, point process theory, and applied probability theory. Contributors: P. Ango Nze, M.A. Arcones, I. Berkes, R. Dahlhaus, J. Dedecker, H.G. Dehling,

Empirical Processes

Empirical Processes PDF Author: David Pollard
Publisher: IMS
ISBN: 9780940600164
Category : Distribution (Probability theory).
Languages : en
Pages : 100

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Book Description


Lectures on Empirical Processes

Lectures on Empirical Processes PDF Author: Eustasio Del Barrio
Publisher: Transaction Publishers
ISBN: 9783037190272
Category : Mathematics
Languages : en
Pages : 268

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Book Description


Convergence of Stochastic Processes

Convergence of Stochastic Processes PDF Author: D. Pollard
Publisher: David Pollard
ISBN: 0387909907
Category : Mathematics
Languages : en
Pages : 223

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Book Description
Functionals on stochastic processes; Uniform convergence of empirical measures; Convergence in distribution in euclidean spaces; Convergence in distribution in metric spaces; The uniform metric on space of cadlag functions; The skorohod metric on D [0, oo); Central limit teorems; Martingales.

Empirical Processes in M-Estimation

Empirical Processes in M-Estimation PDF Author: Sara A. Geer
Publisher: Cambridge University Press
ISBN: 9780521650021
Category : Business & Economics
Languages : en
Pages : 302

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Book Description
Advanced text; estimation methods in statistics, e.g. least squares; lots of examples; minimal abstraction.

Principles of Nonparametric Learning

Principles of Nonparametric Learning PDF Author: Laszlo Györfi
Publisher: Springer
ISBN: 3709125685
Category : Technology & Engineering
Languages : en
Pages : 344

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Book Description
This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.

Quantile Processes with Statistical Applications

Quantile Processes with Statistical Applications PDF Author: Miklos Csorgo
Publisher: SIAM
ISBN: 9781611970289
Category : Distribution (Probability theory)
Languages : en
Pages : 169

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Book Description
Provides a comprehensive theory of the approximations of quantile processes in light of recent advances, as well as some of their statistical applications.

Workshop on Branching Processes and Their Applications

Workshop on Branching Processes and Their Applications PDF Author: Miguel González
Publisher: Springer Science & Business Media
ISBN: 3642111564
Category : Mathematics
Languages : en
Pages : 304

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Book Description
One of the charms of mathematics is the contrast between its generality and its applicability to concrete, even everyday, problems. Branching processes are typical in this. Their niche of mathematics is the abstract pattern of reproduction, sets of individuals changing size and composition through their members reproducing; in other words, what Plato might have called the pure idea behind demography, population biology, cell kinetics, molecular replication, or nuclear ?ssion, had he known these scienti?c ?elds. Even in the performance of algorithms for sorting and classi?cation there is an inkling of the same pattern. In special cases, general properties of the abstract ideal then interact with the physical or biological or whatever properties at hand. But the population, or bran- ing, pattern is strong; it tends to dominate, and here lies the reason for the extreme usefulness of branching processes in diverse applications. Branching is a clean and beautiful mathematical pattern, with an intellectually challenging intrinsic structure, and it pervades the phenomena it underlies.