Nonparametric Functional Estimation And Related Topics

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Nonparametric Functional Estimation and Related Topics

G.G Roussas
Nonparametric Functional Estimation and Related Topics Book PDF

Author : G.G Roussas
Publisher : Springer Science & Business Media
Page : 691 pages
File Size : 54,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9789401132220

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Nonparametric Functional Estimation and Related Topics by G.G Roussas Pdf

About three years ago, an idea was discussed among some colleagues in the Division of Statistics at the University of California, Davis, as to the possibility of holding an international conference, focusing exclusively on nonparametric curve estimation. The fruition of this idea came about with the enthusiastic support of this project by Luc Devroye of McGill University, Canada, and Peter Robinson of the London School of Economics, UK. The response of colleagues, contacted to ascertain interest in participation in such a conference, was gratifying and made the effort involved worthwhile. Devroye and Robinson, together with this editor and George Metakides of the University of Patras, Greece and of the European Economic Communities, Brussels, formed the International Organizing Committee for a two week long Advanced Study Institute (ASI) sponsored by the Scientific Affairs Division of the North Atlantic Treaty Organization (NATO). The ASI was held on the Greek Island of Spetses between July 29 and August 10, 1990. Nonparametric functional estimation is a central topic in statistics, with applications in numerous substantive fields in mathematics, natural and social sciences, engineering and medicine. While there has been interest in nonparametric functional estimation for many years, this has grown of late, owing to increasing availability of large data sets and the ability to process them by means of improved computing facilities, along with the ability to display the results by means of sophisticated graphical procedures.

Nonparametric Functional Estimation

B. L. S. Prakasa Rao
Nonparametric Functional Estimation Book PDF

Author : B. L. S. Prakasa Rao
Publisher : Academic Press
Page : 538 pages
File Size : 50,6 Mb
Release : 2014-07-10
Category : Mathematics
ISBN : 9781483269238

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Nonparametric Functional Estimation by B. L. S. Prakasa Rao Pdf

Nonparametric Functional Estimation is a compendium of papers, written by experts, in the area of nonparametric functional estimation. This book attempts to be exhaustive in nature and is written both for specialists in the area as well as for students of statistics taking courses at the postgraduate level. The main emphasis throughout the book is on the discussion of several methods of estimation and on the study of their large sample properties. Chapters are devoted to topics on estimation of density and related functions, the application of density estimation to classification problems, and the different facets of estimation of distribution functions. Statisticians and students of statistics and engineering will find the text very useful.

Nonparametric Function Estimation, Modeling, and Simulation

James R. Thompson,Richard A. Tapia
Nonparametric Function Estimation Modeling and Simulation Book PDF

Author : James R. Thompson,Richard A. Tapia
Publisher : SIAM
Page : 320 pages
File Size : 55,8 Mb
Release : 1990-01-01
Category : Mathematics
ISBN : 1611971713

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Nonparametric Function Estimation, Modeling, and Simulation by James R. Thompson,Richard A. Tapia Pdf

Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling, and parallel based algorithms. New methods discussed are quick nonparametric density estimation based techniques for resampling and simulation based estimation techniques not requiring closed form solutions.

Topics in Nonparametric Statistics

Michael G. Akritas,S. N. Lahiri,Dimitris N. Politis
Topics in Nonparametric Statistics Book PDF

Author : Michael G. Akritas,S. N. Lahiri,Dimitris N. Politis
Publisher : Springer
Page : 367 pages
File Size : 51,7 Mb
Release : 2014-12-02
Category : Mathematics
ISBN : 9781493905690

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Topics in Nonparametric Statistics by Michael G. Akritas,S. N. Lahiri,Dimitris N. Politis Pdf

This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI and other organizations. M.G. Akritas, S.N. Lahiri and D.N. Politis are the first executive committee members of ISNPS and the editors of this volume. ISNPS has a distinguished Advisory Committee that includes Professors R.Beran, P.Bickel, R. Carroll, D. Cook, P. Hall, R. Johnson, B. Lindsay, E. Parzen, P. Robinson, M. Rosenblatt, G. Roussas, T. SubbaRao and G. Wahba. The Charting Committee of ISNPS consists of more than 50 prominent researchers from all over the world. The chapters in this volume bring forth recent advances and trends in several areas of nonparametric statistics. In this way, the volume facilitates the exchange of research ideas, promotes collaboration among researchers from all over the world and contributes to the further development of the field. The conference program included over 250 talks, including special invited talks, plenary talks and contributed talks on all areas of nonparametric statistics. Out of these talks, some of the most pertinent ones have been refereed and developed into chapters that share both research and developments in the field.

Computer Intensive Methods in Statistics

Wolfgang Härdle,Léopold Simar
Computer Intensive Methods in Statistics Book PDF

Author : Wolfgang Härdle,Léopold Simar
Publisher : Springer Science & Business Media
Page : 176 pages
File Size : 49,9 Mb
Release : 2013-11-27
Category : Mathematics
ISBN : 9783642524684

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Computer Intensive Methods in Statistics by Wolfgang Härdle,Léopold Simar Pdf

The computer has created new fields in statistic. Numerical and statistical problems that were untackable five to ten years ago can now be computed even on portable personal computers. A computer intensive task is for example the numerical calculation of posterior distributions in Bayesian analysis. The Bootstrap and image analysis are two other fields spawned by the almost unlimited computing power. It is not only the computing power through that has revolutionized statistics, the graphical interactiveness on modern statistical environments has given us the possibility for deeper insight into our data. On November 21,22 1991 a conference on computer Intensive Methods in Statistics has been organized at the Universite Catholique de Louvain, Louvain-La-Neuve, Belgium. The organizers were Jan Beirlant (Katholieke Universiteit Leuven), Wolfgang Hardie (Humboldt-Universitat zu Berlin) and Leopold Simar (Universite Catholique de Louvain and Facultes Universitaires Saint-Louis). The meeting was the Xllth in the series of the Rencontre Franco-Beige des Statisticians. Following this tradition both theoretical statistical results and practical contributions of this active field of statistical research were presented. The four topics that have been treated in more detail were: Bayesian Computing; Interfacing Statistics and Computers; Image Analysis; Resampling Methods. Selected and refereed papers have been edited and collected for this book. 1) Bayesian Computing.

Nonparametric Curve Estimation

Sam Efromovich
Nonparametric Curve Estimation Book PDF

Author : Sam Efromovich
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 44,5 Mb
Release : 2008-01-19
Category : Mathematics
ISBN : 9780387226385

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Nonparametric Curve Estimation by Sam Efromovich Pdf

This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation, nonparametric regression, filtering signals, and time series analysis. The companion software package, available over the Internet, brings all of the discussed topics into the realm of interactive research. Virtually every claim and development mentioned in the book is illustrated with graphs which are available for the reader to reproduce and modify, making the material fully transparent and allowing for complete interactivity.

High Dimensional Probability VIII

Nathael Gozlan,Rafał Latała,Karim Lounici,Mokshay Madiman
High Dimensional Probability VIII Book PDF

Author : Nathael Gozlan,Rafał Latała,Karim Lounici,Mokshay Madiman
Publisher : Springer Nature
Page : 457 pages
File Size : 52,6 Mb
Release : 2019-11-26
Category : Mathematics
ISBN : 9783030263911

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High Dimensional Probability VIII by Nathael Gozlan,Rafał Latała,Karim Lounici,Mokshay Madiman Pdf

This volume collects selected papers from the 8th High Dimensional Probability meeting held at Casa Matemática Oaxaca (CMO), Mexico. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite-dimensional spaces such as Hilbert spaces and Banach spaces. The most remarkable feature of this area is that it has resulted in the creation of powerful new tools and perspectives, whose range of application has led to interactions with other subfields of mathematics, statistics, and computer science. These include random matrices, nonparametric statistics, empirical processes, statistical learning theory, concentration of measure phenomena, strong and weak approximations, functional estimation, combinatorial optimization, random graphs, information theory and convex geometry. The contributions in this volume show that HDP theory continues to thrive and develop new tools, methods, techniques and perspectives to analyze random phenomena.

Nonparametric Functional Data Analysis

Frédéric Ferraty,Philippe Vieu
Nonparametric Functional Data Analysis Book PDF

Author : Frédéric Ferraty,Philippe Vieu
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 45,9 Mb
Release : 2006-11-22
Category : Mathematics
ISBN : 9780387366203

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Nonparametric Functional Data Analysis by Frédéric Ferraty,Philippe Vieu Pdf

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.

Nonparametric Statistics for Stochastic Processes

D. Bosq
Nonparametric Statistics for Stochastic Processes Book PDF

Author : D. Bosq
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 43,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461217183

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Nonparametric Statistics for Stochastic Processes by D. Bosq Pdf

This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are studied in Chapter 2 and 3. The special rates of convergence which appear in continuous time are presented in Chapters 4 and 5. This second edition is extensively revised and it contains two new chapters. Chapter 6 discusses the surprising local time density estimator. Chapter 7 gives a detailed account of implementation of nonparametric method and practical examples in economics, finance and physics. Comarison with ARMA and ARCH methods shows the efficiency of nonparametric forecasting. The prerequisite is a knowledge of classical probability theory and statistics. Denis Bosq is Professor of Statistics at the Unviersity of Paris 6 (Pierre et Marie Curie). He is Editor-in-Chief of "Statistical Inference for Stochastic Processes" and an editor of "Journal of Nonparametric Statistics". He is an elected member of the International Statistical Institute. He has published about 90 papers or works in nonparametric statistics and four books.

Maximum Penalized Likelihood Estimation

P.P.B. Eggermont,V.N. LaRiccia
Maximum Penalized Likelihood Estimation Book PDF

Author : P.P.B. Eggermont,V.N. LaRiccia
Publisher : Springer Science & Business Media
Page : 544 pages
File Size : 44,9 Mb
Release : 2001-06-21
Category : Mathematics
ISBN : 0387952683

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Maximum Penalized Likelihood Estimation by P.P.B. Eggermont,V.N. LaRiccia Pdf

This book deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints. The focal points are existence and uniqueness of the estimators, almost sure convergence rates for the L1 error, and data-driven smoothing parameter selection methods, including their practical performance. The reader will gain insight into technical tools from probability theory and applied mathematics.

Asymptotics in Statistics and Probability

Madan L. Puri
Asymptotics in Statistics and Probability Book PDF

Author : Madan L. Puri
Publisher : Walter de Gruyter GmbH & Co KG
Page : 456 pages
File Size : 54,6 Mb
Release : 2018-11-05
Category : Mathematics
ISBN : 9783110942002

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Asymptotics in Statistics and Probability by Madan L. Puri Pdf

No detailed description available for "Asymptotics in Statistics and Probability".

Statistical Decision Theory and Related Topics V

Shanti S. Gupta,James O. Berger
Statistical Decision Theory and Related Topics V Book PDF

Author : Shanti S. Gupta,James O. Berger
Publisher : Springer Science & Business Media
Page : 535 pages
File Size : 49,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461226185

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Statistical Decision Theory and Related Topics V by Shanti S. Gupta,James O. Berger Pdf

The Fifth Purdue International Symposium on Statistical Decision The was held at Purdue University during the period of ory and Related Topics June 14-19,1992. The symposium brought together many prominent leaders and younger researchers in statistical decision theory and related areas. The format of the Fifth Symposium was different from the previous symposia in that in addition to the 54 invited papers, there were 81 papers presented in contributed paper sessions. Of the 54 invited papers presented at the sym posium, 42 are collected in this volume. The papers are grouped into a total of six parts: Part 1 - Retrospective on Wald's Decision Theory and Sequential Analysis; Part 2 - Asymptotics and Nonparametrics; Part 3 - Bayesian Analysis; Part 4 - Decision Theory and Selection Procedures; Part 5 - Probability and Probabilistic Structures; and Part 6 - Sequential, Adaptive, and Filtering Problems. While many of the papers in the volume give the latest theoretical developments in these areas, a large number are either applied or creative review papers.

Introduction to Nonparametric Estimation

Alexandre B. Tsybakov
Introduction to Nonparametric Estimation Book PDF

Author : Alexandre B. Tsybakov
Publisher : Springer Science & Business Media
Page : 222 pages
File Size : 55,9 Mb
Release : 2008-10-22
Category : Mathematics
ISBN : 9780387790527

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Introduction to Nonparametric Estimation by Alexandre B. Tsybakov Pdf

Developed from lecture notes and ready to be used for a course on the graduate level, this concise text aims to introduce the fundamental concepts of nonparametric estimation theory while maintaining the exposition suitable for a first approach in the field.

Modeling Uncertainty

Moshe Dror,Pierre L'Ecuyer,Ferenc Szidarovszky
Modeling Uncertainty Book PDF

Author : Moshe Dror,Pierre L'Ecuyer,Ferenc Szidarovszky
Publisher : Springer
Page : 770 pages
File Size : 43,7 Mb
Release : 2019-11-05
Category : Mathematics
ISBN : 9780306481024

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Modeling Uncertainty by Moshe Dror,Pierre L'Ecuyer,Ferenc Szidarovszky Pdf

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internationally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.

Inference and Prediction in Large Dimensions

Denis Bosq,Delphine Blanke
Inference and Prediction in Large Dimensions Book PDF

Author : Denis Bosq,Delphine Blanke
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 47,8 Mb
Release : 2008-03-11
Category : Mathematics
ISBN : 0470724021

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Inference and Prediction in Large Dimensions by Denis Bosq,Delphine Blanke Pdf

This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive projection – with applications to tests of fit and prediction, and theory of linear processes in function spaces with applications to prediction of continuous time processes. This work is in the Wiley-Dunod Series co-published between Dunod (www.dunod.com) and John Wiley and Sons, Ltd.