Fundamentals of Nonparametric Bayesian Inference


Author: Subhashis Ghosal,Aad van der Vaart

Publisher: Cambridge University Press

ISBN: 0521878268

Category: Business & Economics

Page: 670

View: 488

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

2017 MATRIX Annals


Author: David R. Wood,Jan de Gier,Cheryl E. Praeger,Terence Tao

Publisher: Springer

ISBN: 3030041611

Category: Mathematics

Page: 691

View: 7763

MATRIX is Australia's international and residential mathematical research institute. It facilitates new collaborations and mathematical advances through intensive residential research programs, each 1-4 weeks in duration. This book is a scientific record of the eight programs held at MATRIX in its second year, 2017: - Hypergeometric Motives and Calabi-Yau Differential Equations - Computational Inverse Problems - Integrability in Low-Dimensional Quantum Systems - Elliptic Partial Differential Equations of Second Order: Celebrating 40 Years of Gilbarg and Trudinger's Book - Combinatorics, Statistical Mechanics, and Conformal Field Theory - Mathematics of Risk - Tutte Centenary Retreat - Geometric R-Matrices: from Geometry to Probability The articles are grouped into peer-reviewed contributions and other contributions. The peer-reviewed articles present original results or reviews on a topic related to the MATRIX program; the remaining contributions are predominantly lecture notes or short articles based on talks or activities at MATRIX.

Predictive Statistics

Analysis and Inference beyond Models


Author: Bertrand S. Clarke,Jennifer L. Clarke

Publisher: Cambridge University Press

ISBN: 1107028280

Category: Business & Economics

Page: 652

View: 5444

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: 1108415199

Category: Business & Economics

Page: 296

View: 5735

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

Essentials of Statistical Inference


Author: G. A. Young,R. L. Smith,R. L. (University of North Carolina Smith, Chapel Hill)

Publisher: Cambridge University Press

ISBN: 9780521839716

Category: Mathematics

Page: 225

View: 577

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: 9780521784504

Category: Mathematics

Page: 443

View: 6972

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

Computational Bayesian Statistics


Author: M. Antónia Amaral Turkman,Carlos Daniel Paulino,Peter Müller

Publisher: Cambridge University Press

ISBN: 1108481035

Category: Business & Economics

Page: 275

View: 9671

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,Randall Eubank

Publisher: John Wiley & Sons

ISBN: 0470016914

Category: Mathematics

Page: 480

View: 1715

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.