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Stochastic Curve Estimation


Stochastic Curve Estimation
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Stochastic Curve Estimation


Stochastic Curve Estimation
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Author : Murray Rosenblatt
language : en
Publisher: IMS
Release Date : 1991

Stochastic Curve Estimation written by Murray Rosenblatt and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Mathematics categories.


These notes are based on a regional set of lectures on curve estimation in the context of independent and dependent observations given at the University of California, Davis during June 1989. Much of these lectures is concerned with probability density or regression function estimation when observations are independent.



R R Bahadur S Lectures On The Theory Of Estimation


R R Bahadur S Lectures On The Theory Of Estimation
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Author : Raghu Raj Bahadur
language : en
Publisher: IMS
Release Date : 2002

R R Bahadur S Lectures On The Theory Of Estimation written by Raghu Raj Bahadur and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.


"In the Winter Quarter of the academic year 1984-1985, Raj Bahadur gave a series of lectures on estimation theory at the University of Chicago"--Page i.



Asymptotics Nonparametrics And Time Series


Asymptotics Nonparametrics And Time Series
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Author : Subir Ghosh
language : en
Publisher: CRC Press
Release Date : 1999-02-18

Asymptotics Nonparametrics And Time Series written by Subir Ghosh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-02-18 with Mathematics categories.


"Contains over 2500 equations and exhaustively covers not only nonparametrics but also parametric, semiparametric, frequentist, Bayesian, bootstrap, adaptive, univariate, and multivariate statistical methods, as well as practical uses of Markov chain models."



Flexible Nonparametric Curve Estimation


Flexible Nonparametric Curve Estimation
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Author : Hassan Doosti
language : en
Publisher: Springer Nature
Release Date : 2024-09-04

Flexible Nonparametric Curve Estimation written by Hassan Doosti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-04 with Mathematics categories.


This book delves into the realm of nonparametric estimations, offering insights into essential notions such as probability density, regression, Tsallis Entropy, Residual Tsallis Entropy, and intensity functions. Through a series of carefully crafted chapters, the theoretical foundations of flexible nonparametric estimators are examined, complemented by comprehensive numerical studies. From theorem elucidation to practical applications, the text provides a deep dive into the intricacies of nonparametric curve estimation. Tailored for postgraduate students and researchers seeking to expand their understanding of nonparametric statistics, this book will serve as a valuable resource for anyone who wishes to explore the applications of flexible nonparametric techniques.



Nonparametric Functional Estimation And Related Topics


Nonparametric Functional Estimation And Related Topics
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Author : G.G Roussas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Nonparametric Functional Estimation And Related Topics written by G.G Roussas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


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.



Probabilistic Parametric Curves For Sequence Modeling


Probabilistic Parametric Curves For Sequence Modeling
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Author : Hug, Ronny
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-07-12

Probabilistic Parametric Curves For Sequence Modeling written by Hug, Ronny and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-12 with Mathematics categories.


This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks and Bézier curves with Gaussian random variables as control points. A key advantage of this model is given by the ability to generate multi-mode predictions in a single inference step, thus avoiding the need for Monte Carlo simulation.



Cybernetics And Systems Research 92 Proceedings Of The 11th European Meeting On Cybernetics And Systems Research In 2 Volumes


Cybernetics And Systems Research 92 Proceedings Of The 11th European Meeting On Cybernetics And Systems Research In 2 Volumes
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Author : Robert Trappl
language : en
Publisher: World Scientific
Release Date : 1992-03-27

Cybernetics And Systems Research 92 Proceedings Of The 11th European Meeting On Cybernetics And Systems Research In 2 Volumes written by Robert Trappl and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-03-27 with categories.


The 210 articles which are divided into 18 sections in this new reference work represent the most recent findings in cybernetics and systems research. It brings together contributions from leading scientists from all over the world — Europe, North America, South America, Asia, Africa and Australia. This volume therefore gives a broad spectrum of the ongoing research worldwide.Topics covered in the 18 sections are: General Systems Methodology; Mathematical Systems Theory; Computer Aided Process Interpretation; Fuzzy Sets, Approximate Reasoning and Knowledge-based Systems; Designing and Systems; Biocybernetics and Mathematical Biology; Cybernetics in Medicine; Cybernetics of Socioeconomic Systems; Systems, Management and Organization; Cybernetics of National Development; Communication and Computers; Connectionism and Cognitive Processing; Intelligent Autonomous Systems; Artificial Intelligence; Impacts of Artificial Intelligence.



Nonlinear Time Series


Nonlinear Time Series
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Author : Jianqing Fan
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-11

Nonlinear Time Series written by Jianqing Fan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-11 with Mathematics categories.


This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time series analysis. Such a book will benefit researchers and practitioners in various fields such as econometricians, meteorologists, biologists, among others who wish to learn useful time series methods within a short period of time. The book also intends to serve as a reference or text book for graduate students in statistics and econometrics.



Parameter Estimation In Stochastic Differential Equations


Parameter Estimation In Stochastic Differential Equations
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Author : Jaya P. N. Bishwal
language : en
Publisher: Springer
Release Date : 2007-09-26

Parameter Estimation In Stochastic Differential Equations written by Jaya P. N. Bishwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-26 with Mathematics categories.


Parameter estimation in stochastic differential equations and stochastic partial differential equations is the science, art and technology of modeling complex phenomena. The subject has attracted researchers from several areas of mathematics. This volume presents the estimation of the unknown parameters in the corresponding continuous models based on continuous and discrete observations and examines extensively maximum likelihood, minimum contrast and Bayesian methods.



Probability And Statistical Models With Applications


Probability And Statistical Models With Applications
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Author : CH. A. Charalambides
language : en
Publisher: CRC Press
Release Date : 2000-09-21

Probability And Statistical Models With Applications written by CH. A. Charalambides and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-09-21 with Mathematics categories.


This monograph of carefully collected articles reviews recent developments in theoretical and applied statistical science, highlights current noteworthy results and illustrates their applications; and points out possible new directions to pursue. With its enlightening account of statistical discoveries and its numerous figures and tables, Probabili