Fundamentals of Nonparametric Bayesian Inference

Author: Subhashis Ghosal

Publisher: Cambridge University Press

ISBN:

Category: Business & Economics

Page: 670

View: 624

Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.

Predictive Statistics

Analysis and Inference beyond Models

Author: Bertrand S. Clarke

Publisher: Cambridge University Press

ISBN:

Category: Business & Economics

Page: 652

View: 590

A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.

High-Dimensional Probability

An Introduction with Applications in Data Science

Author: Roman Vershynin

Publisher: Cambridge University Press

ISBN:

Category: Business & Economics

Page: 296

View: 509

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Handbook of Cluster Analysis

Author: Christian Hennig

Publisher: CRC Press

ISBN:

Category: Business & Economics

Page: 753

View: 150

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools. The book is organized according to the traditional core approaches to cluster analysis, from the origins to recent developments. After an overview of approaches and a quick journey through the history of cluster analysis, the book focuses on the four major approaches to cluster analysis. These approaches include methods for optimizing an objective function that describes how well data is grouped around centroids, dissimilarity-based methods, mixture models and partitioning models, and clustering methods inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi-supervised clustering, and explores other relevant issues, such as evaluating the quality of a cluster. This handbook is accessible to readers from various disciplines, reflecting the interdisciplinary nature of cluster analysis. For those already experienced with cluster analysis, the book offers a broad and structured overview. For newcomers to the field, it presents an introduction to key issues. For researchers who are temporarily or marginally involved with cluster analysis problems, the book gives enough algorithmic and practical details to facilitate working knowledge of specific clustering areas.

Essentials of Statistical Inference

Author: G. A. Young

Publisher: Cambridge University Press

ISBN:

Category: Mathematics

Page: 225

View: 506

Concise account of main approaches; first textbook to synthesize modern computation with basic theory.

Asymptotic Statistics

Author: A. W. van der Vaart

Publisher: Cambridge University Press

ISBN:

Category: Mathematics

Page: 443

View: 350

A mathematically rigorous, practical introduction presenting standard topics plus research.

Computational Bayesian Statistics

Author: M. Antónia Amaral Turkman

Publisher: Cambridge University Press

ISBN:

Category: Business & Economics

Page: 275

View: 808

This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Author: Tailen Hsing

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 480

View: 392

Functional data is data in the form of curves that is becoming a popular method for interpreting scientific data. Statistical Analysis of Functional Data provides an authoritative account of function data analysis covering its foundations, theory, methodology, and practical implementation. It also contains examples taken from a wide range of disciplines, including finance, medicine, and psychology. The book includes a supporting Web site hosting the real data sets analyzed in the book and related software. Statistical researchers or practitioners analyzing functional data will find this book useful.