Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书


Theoretical Foundations of Functional Data Analysis

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Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书 著者简介

Tailen Hsing Professor, Department of Statistics, University of Michigan, USA. Professor Hsing is a fellow of International Statistical Institute and of the Institute of Mathematical Statistics. He has published numerous papers on subjects ranging from bioinformatics to extreme value theory, functional data analysis, large sample theory and processes with long memory.

Randall Eubank Professor Emeritus, School of Mathematical and Statistical Sciences, Arizona State University, USA. Professor Eubank is well know and respected in the functional data analysis (FDA) field. He has published numerous papers on the subject and is a regular invited speaker at key meetings.


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发表于2024-12-24

Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书

Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书

Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书



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出版者:Wiley
作者:Tailen Hsing
出品人:
页数:384
译者:
出版时间:2015-5
价格:EUR 75
装帧:Hardcover
isbn号码:9780470016916
丛书系列:

图书标签: 统计学习  数学  textbook統計  Textbook  @網   


Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书 图书描述

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA).

The self–contained treatment of selected topics of functional analysis and operator theory includes reproducing kernel Hilbert spaces, singular value decomposition of compact operators on Hilbert spaces and perturbation theory for both self–adjoint and non self–adjoint operators. The probabilistic foundation for FDA is described from the perspective of random elements in Hilbert spaces as well as from the viewpoint of continuous time stochastic processes. Nonparametric estimation approaches including kernel and regularized smoothing are also introduced. These tools are then used to investigate the properties of estimators for the mean element, covariance operators, principal components, regression function and canonical correlations. A general treatment of canonical correlations in Hilbert spaces naturally leads to FDA formulations of factor analysis, regression, MANOVA and discriminant analysis.

This book will provide a valuable reference for statisticians and other researchers interested in developing or understanding the mathematical aspects of FDA. It is also suitable for a graduate level special topics course.

Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书

Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书
想要找书就要到 本本书屋
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 用户评价

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上一门 FDA 课的时候看过, 当时还觉得挺有用的.

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上一门 FDA 课的时候看过, 当时还觉得挺有用的.

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上一门 FDA 课的时候看过, 当时还觉得挺有用的.

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上一门 FDA 课的时候看过, 当时还觉得挺有用的.

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上一门 FDA 课的时候看过, 当时还觉得挺有用的.

Theoretical Foundations of Functional Data Analysis 2024 pdf epub mobi 电子书


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