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Bayesian Economics Through Numerical Methods
The aim of this book is to provide researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies. It covers the full range of … mehr »
geschrieben von Jeffrey H. Dorfman (Autor)
[UPDATED 6/6/2000] Group actions on trees furnish a unified geometric way of recasting the chapter of combinatorial group theory dealing with free groups, amalgams, and HNN extensions. Some of the …
Lattices and volumes; graphs of groups, and edge-indexed graphs; tree lattices; arbitrary real volumes, cups, and homology; length functions, minimality; centralizers, normalizers, and commensurators; …
Manfred Opper is a Reader and David Saad is Professor, the Neural Computing Research …
This book covers the theoretical foundations of advanced mean field methods, explores the relation between the different approaches, examines the quality of the approximation obtained, and …
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.- …
This is the second of a two volume collection of seminal papers in the statistical sciences written during the past 100 years. These papers have each had an outstanding influence on the development of …
Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised …
Introduction.- Random Variable Generation.- Monte Carlo Integration.- Markov Chains.- Monte Carlo Optimization.- The Metropolis-Hastings Algorithm.- The Gibbs Sampler.- Diagnosing Convergence.- …
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internionally known …
Preface. Contributing Authors. 1. Professor Sidney J. Yakowitz; D.S. Yakowitz. Part I. 2. Stability of Single Class Queueing Networks; H.J. Kushner. 3. Sequential Optimization Under Uncertainty; Tze …
This volume takes a hands-on approach to the introduction of basic statistical methods, using a highly interactive method. Readers are taught to ask "why" and think like a statistician to find the …
Note: Each chapter ends with a Chapter Summary, Key Terms, and Exercises. Chapter 1: How to Make a Decision with Statistics Chapter 2: Producing Data Chapter 3: Observation Studies and Experiments …
University College Dublin, …
Covering many of the diverse methods in applied probability and statistics, this book builds on readers' existing knowledge of probability and statistics by establishing a solid and thorough …
Claims Reserving and Pricing with Run-Off Triangles. Loss Distributions. Risk Theory. Ruin Theory. Credibility Theory. No Claim Discounting in Motor Insurance. Generalized Linear Models. Decision and …
'An excellent textbook for an advanced undergraduate or introductory graduate course on polymer chemistry. ...The book is easy to read and understand. The emphasis on commercially important materials …
How does an algebraic geometer studying secant varieties further the understanding of hypothesis tests in statistics? Why would a statistician working on factor analysis raise open problems about …
Preface.- 1. Markov bases.- 2. Likelihood inference.- 3. Conditional independence.- 4. …
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