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Nonparametric methods
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Introduction to Nonparametric Estimation

Introduction to Nonparametric Estimation,概率密度估计

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nonparametric functional data analysis

This book is the fruit of recent advances concerning both nonparametric statistical modelling and functional variables,presents in a original way new nonparametric statistical methods for functional data analysis.

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Nonparametric Statistical Methods (2014, John Wiley & Sons)

Nonparametric Statistical Methods (2014, John Wiley & Sons) 非参数统计的教材

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all of nonparametric statistics.pdf

做machine learning的人大多必须先打好统计基础,而这本书就是非参统计的一本极好的著作

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Nonlinear Time Series Nonparametric and Parametric Methods

这是关于非线性时间序列非参数与参数模型的电子书,高清,最新版本,经典著作,英文版

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Nonlinear Time Series: Nonparametric and Parametric Methods

时间序列分析方面非常好的一本书,详细介绍了分析中需要的基本理论,方法,原理等

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All of Nonparametric Statistics

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to sp

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Bayesian Nonparametric, 非参数贝叶斯模型

Bayesian Nonparametric, 非参数贝叶斯模型

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Bayesian Nonparametric Data Analysis

This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.

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Nonlinear Time Series: Nonparametric and Parametric Methods 范剑青

一本非常好的非线性时间序列英文版书籍,由统计界的大牛范剑青编著。

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Introduction to Nonparametric Estimation 英文版

Introduction to Nonparametric Estimation 英文版

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Nonparametric Statistics

Nonparametric Statistics with Applications to Science and Engineering Paul H. Kvam Brani Vidakovic Contents 1 Introduction 2 Probability Basics 3 Statistics Basics 4 Bayesian Statistics 5 Order Statistics 6 Goodness of Fit 7 Rank Tests 8 Designed Experiments 9 Categorical Data 10 Estimating Distr

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非参数统计方法

学R和学非参数统计的好教材书。大牛吴喜之的经典教材之一

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nonparametric bayesian modeling of complex networks

nonparametric bayesian modeling of complex networks

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all of nonparametric staticstics

by Larry Wasserman springer pdf

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Applied Nonparametric Regression

The theory and methods of smoothing have been developed mainly in the last ten years. The intensive interest in smoothing over this last decade had two reasons: statisticians realized that pure parametric thinking in curve estimations often does not meet the need for flexibility in data analysis and

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Ensemble Methods Foundations and Algorithms(清晰版)

An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After

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Infinite Mixture Models with Nonparametric Bayes and the Dirichlet Process

Infinite Mixture Models with Nonparametric Bayes and the Dirichlet Process

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book1A Distribution-Free Theory of nonparametric.pdf

Distribution-Free Theory of nonparametric springer serier in Statistic

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Numerical Methods Using MATLAB_Mathews_4th(英文版 文字版)

Numerical Methods Using MATLAB_Mathews_4th,英文版 文字版非扫描版,数值方法Matlab版,Mathews第4版。

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