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- catalog abstract "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.".
- catalog contributor b10916088.
- catalog created "1998.".
- catalog date "1998".
- catalog date "1998.".
- catalog dateCopyrighted "1998.".
- catalog description "Includes bibliographical references and index.".
- catalog description "Inequalities for Mixing Processes -- Density Estimation for Discrete Time Processes -- Regression Estimation and Prediction for Discrete Time Processes -- Kernel Density Estimation for Continuous Time Processes -- Regression Estimation and Prediction in Continuous Time -- The Local Time Density Estimator -- Implementation of Nonparametric Method and Numerical Appliations.".
- catalog description "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.".
- catalog extent "xvi, 210 p. ;".
- catalog identifier "0387985905 (softcover : alk. paper)".
- catalog isPartOf "Lecture notes in statistics (Springer-Verlag) ; v. 110.".
- catalog isPartOf "Lecture notes in statistics ; 110".
- catalog issued "1998".
- catalog issued "1998.".
- catalog language "eng".
- catalog publisher "New York : Springer,".
- catalog subject "519.5/4 21".
- catalog subject "Estimation theory.".
- catalog subject "Nonparametric statistics.".
- catalog subject "Qa278.8 .B67 1998".
- catalog subject "Statistics.".
- catalog subject "Stochastic processes.".
- catalog tableOfContents "Inequalities for Mixing Processes -- Density Estimation for Discrete Time Processes -- Regression Estimation and Prediction for Discrete Time Processes -- Kernel Density Estimation for Continuous Time Processes -- Regression Estimation and Prediction in Continuous Time -- The Local Time Density Estimator -- Implementation of Nonparametric Method and Numerical Appliations.".
- catalog title "Nonparametric statistics for stochastic processes : estimation and prediction / D. Bosq.".
- catalog type "text".