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Rethinking the Foundations of Statistics
A synthesis of foundational studies in Bayesian … mehr »
geschrieben von Joseph B. Kadane (Autor) und Mark J. Schervish (Autor) und Teddy Seidenfeld (Autor)
The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate … mehr »
geschrieben von Mark J. Schervish (Autor)
This book discusses the main shortcomings of the classical solution concept from noncooperative game theory (that of Nash equilibria) and provides a comprehensive study of the more refined concepts …
Contents: Introduction.- Games in Normal Form.- Matrix and Bimatrix Games.- Control Costs.- Incomplete Information.- Extensive Form Games.- Bargaining and Fair Division.- Repeated Games.- Evolutionary …
S is a powerful environment for the statistical and graphical analysis
of data. It provides the tools to implement many statistical ideas
that have been made possible by the widespread …
Introduction.- Data Manipulation.- The S Language.- Graphics.- Univariate Statistics.- Linear Statistical Models.- Generalized Linear Models.- Non-linear and Smooth Regression.- Tree-based Methods.- …
Preface; Errata; 1. First-passage fundamentals; 2. First passage in an interval; 3. Semi-infinite system; 4. Illustrations of first passage in simple geometries; 5. Fractal and nonfractal networks; 6. …
Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and …
Universal Lossless Data Compression.- Links Between Data Compression and Statistical Estimation.- Non Cumulated Mean Risk.- Gibbs Estimators.- Randomized Estimators and Empirical Complexity.- …
Anthony O'Hagan is Professor of Statistics at the University of Sheffield, UK Jon …
This new edition responds to the developments and advances that have taken place in this area over the last few years, and offers the reader a comprehensive, up-to-date overview of Bayesian …
The Bayesian method; inference and decisions; general principles and theory; subjective probability; non-subjective theories; prior distributions; model comparison; robustness and model criticism; …
This book is drawn from across many active fields of mathematics and physics, and has connections to atmospheric dynamics, spherical codes, graph theory, constrained optimization problems, Markov …
Introduction.- Probability.- Statistical Mechanics.- The Monte Carlo Approach.- Spectral Methods.- Discrete Models in Fluids.- Spin-Lattice Models.- Monte Carlo Simulations.- Polyhedra and Ground …
There is much international interest in theoretical and numerical analysis of tomography problems and their applications. This volume contains a selection of papers which were presented at the 4th …
Image reconstruction of celestial objects from a few strip-integrated projections by lunar occultations, M.E. Agafonov and K.S. Stankevich; numerical study of a non-linear sound radiating inverse …
Massimo Franceschetti is assistant professor of electrical engineering at the University of California, San Diego. His work in communication system theory sits at the interface between networks, …
When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - …
Preface; 1. Introduction; 2. Phase transitions in infinite networks; 3. Connectivity of finite networks; 4. More on phase transitions; 5. Information flow in random networks; 6. Navigation in random …
When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? How do you approach these questions when the network is …
To assess the past achievement and to provide a road map for future research, an IMA participating institution conference entitled "Conference on Asymptotic Analysis in Stochastic Processes, …
The 36th Séminaire de Probabilités contains an advanced course on Logarithmic Sobolev Inequalities by A. Guionnet and B. Zegarlinski, as well as two shorter surveys by L. Pastur and N. O'Connell on …
Cours specialises et exposes thematiques: A. Guionnet, B. Zegarlinski: Lectures on Logarithmic Sobolev inequalities.- A. Lejay, L. Pastur: Matrices aleatoires : statistique asymptotique des valeurs …
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