Christian P. Robert's Books

The Bayesian Choice

A Decision-Theoretic Motivation

By: Christian P. Robert

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The Bayesian Choice

A Decision-Theoretic Motivation

By: Christian P. Robert

This graduate-level textbook covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statistics, such as complete class theorems, the Stein effect, hierarchical and empirical Bayes modelling, Monte Carlo integration, and Gibbs sampling. In translating the book from the original French, the author has taken the opportunity to add and update material, and to include many problems and exercises for students.

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Page Count

444

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1475743149

ISBN 13

9781475743142

Bayesian Essentials with R

By: Jean-Michel Marin,Christian P. Robert

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Bayesian Essentials with R

By: Jean-Michel Marin,Christian P. Robert

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels. It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics.

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Page Count

305

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461486874

ISBN 13

9781461486879

The Birth, Passing and Final Resting Place of Chicago's North Side Baseball Players from 1-1-1876 to 1-1-2021

By: Lyn Christian

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The Birth, Passing and Final Resting Place of Chicago's North Side Baseball Players from 1-1-1876 to 1-1-2021

By: Lyn Christian

This book presents to you the places of Birth, Passing and Final Resting of Chicago's North side Baseball Players from January 1, 1876 to January 1, 2021.

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Page Count

257

Publisher

Xlibris Corporation

Published Date

ISBN 10

1664199071

ISBN 13

9781664199071

Mixtures

Estimation and Applications

By: Kerrie L. Mengersen,Christian Robert,Mike Titterington

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Mixtures

Estimation and Applications

By: Kerrie L. Mengersen,Christian Robert,Mike Titterington

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

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Page Count

352

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119998441

ISBN 13

9781119998440

Monte Carlo Statistical Methods

By: Christian Robert,George Casella

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Monte Carlo Statistical Methods

By: Christian Robert,George Casella

We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.

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Page Count

670

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1475741456

ISBN 13

9781475741452

Introducing Monte Carlo Methods with R

By: Christian Robert,George Casella

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Introducing Monte Carlo Methods with R

By: Christian Robert,George Casella

This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison.

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Page Count

297

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1441915753

ISBN 13

9781441915757

Litigation Services Handbook

The Role of the Financial Expert

By: Roman L. Weil,Peter B. Frank,Christian W. Hughes,Michael J. Wagner

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Litigation Services Handbook

The Role of the Financial Expert

By: Roman L. Weil,Peter B. Frank,Christian W. Hughes,Michael J. Wagner

Litigation Services Handbook, Fourth Edition is referred to as the litigation bible. Its nearly 50 chapters read like a who's who in law and accounting. The handbook includes all aspects of litigation services, including current environments, the process itself, a wealth of cases, how to prove damages, and practical considerations of court appearances. The new edition has a heavy focus on fraud investigations and complying with Sarbanes-Oxley requirements.

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Page Count

1200

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470052686

ISBN 13

9780470052686

Collisional Effects on Molecular Spectra

Laboratory Experiments and Models, Consequences for Applications

By: Jean-Michel Hartmann,Christian Boulet,Daniel Robert

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Collisional Effects on Molecular Spectra

Laboratory Experiments and Models, Consequences for Applications

By: Jean-Michel Hartmann,Christian Boulet,Daniel Robert

Gas phase molecular spectroscopy is a powerful tool for obtaining information on the geometry and internal structure of isolated molecules and their interactions with others. It enables the understanding and description, through measurements and modeling, of the influence of pressure on light absorption, emission, and scattering by gas molecules, which must be taken into account for the correct analysis and prediction of the resulting spectra. Collisional Effects on Molecular Spectra: Laboratory Experiments and Models, Consequences for Applications, Second Edition provides an updated review of current experimental techniques, theoretical knowledge, and practical applications. After an introduction to collisional effects on molecular spectra, the book moves on by taking a threefold approach: it highlights key models, reviews available data, and discusses the consequences for applications. These include areas such as heat transfer, remote sensing, optical sounding, metrology, probing of gas media, and climate predictions. This second edition also contains, with respect to the first one, significant amounts of new information, including 23 figures, 8 tables, and around 700 references.Drawing on the extensive experience of its expert authors, Collisional Effects on Molecular Spectra: Laboratory Experiments and Models, Consequences for Applications, Second Edition, is a valuable guide for all those involved with sourcing, researching, interpreting, or applying gas phase molecular spectroscopy techniques across a range of fields. - Provides updated information on the latest advances in the field, including isolated line shapes, line-broadening and -shifting, line-mixing, the far wings and associated continua, and collision-induced absorption - Reviews recently developed experimental techniques of high accuracy and sensitivity - Highlights the latest practical applications in areas such as metrology, probing of gas media, and climate prediction

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Page Count

577

Publisher

Elsevier

Published Date

ISBN 10

0128227362

ISBN 13

9780128227367

Introducing Monte Carlo Methods with R

By: Christian Robert,George Casella

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Introducing Monte Carlo Methods with R

By: Christian Robert,George Casella

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a programmer's point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison. While this book constitutes a comprehensive treatment of simulation methods, the theoretical justification of those methods has been considerably reduced, compared with Robert and Casella (2004). Similarly, the more exploratory and less stable solutions are not covered here. This book does not require a preliminary exposure to the R programming language or to Monte Carlo methods, nor an advanced mathematical background. While many examples are set within a Bayesian framework, advanced expertise in Bayesian statistics is not required. The book covers basic random generation algorithms, Monte Carlo techniques for integration and optimization, convergence diagnoses, Markov chain Monte Carlo methods, including Metropolis {Hastings and Gibbs algorithms, and adaptive algorithms. All chapters include exercises and all R programs are available as an R package called mcsm. The book appeals to anyone with a practical interest in simulation methods but no previous exposure. It is meant to be useful for students and practitioners in areas such as statistics, signal processing, communications engineering, control theory, econometrics, finance and more. The programming parts are introduced progressively to be accessible to any reader.

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Page Count

297

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1441915761

ISBN 13

9781441915764

The Bayesian Choice

From Decision-Theoretic Foundations to Computational Implementation

By: Christian Robert

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The Bayesian Choice

From Decision-Theoretic Foundations to Computational Implementation

By: Christian Robert

This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.

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Page Count

620

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387715983

ISBN 13

9780387715988

Book's by Christian P. Robert

The Bayesian Choice

The Bayesian Choice

Bayesian Essentials with R

Bayesian Essentials with R

The Birth, Passing and Final Resting Place of Chicago's North Side Baseball Players from 1-1-1876 to 1-1-2021

The Birth, Passing and Final Resting Place of Chicago's North Side Baseball Players from 1-1-1876 to 1-1-2021

Mixtures

Mixtures

Monte Carlo Statistical Methods

Monte Carlo Statistical Methods

Introducing Monte Carlo Methods with R

Introducing Monte Carlo Methods with R

Litigation Services Handbook

Litigation Services Handbook

Collisional Effects on Molecular Spectra

Collisional Effects on Molecular Spectra

Introducing Monte Carlo Methods with R

Introducing Monte Carlo Methods with R

The Bayesian Choice

The Bayesian Choice

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