Read-alikes and related books

Books like Bayesian Essentials with R

If you loved Bayesian Essentials with R by Jean-Michel Marin, this shelf of 24 books shares the same pull — rooted in Mathematical & Statistical Software, Stochastic Processes, Probability & Statistics, and Mathematics.

Mathematical & Statistical Software Stochastic Processes Probability & Statistics Mathematics Computers

Top related books to Bayesian Essentials with R

Handpicked for thematic and literary overlap — the best shelf companions to Bayesian Essentials with R.

Local Regression and Likelihood — Clive Loader

Local Regression and Likelihood

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

An Introduction to Statistical Learning with Applications in R — Gareth James

An Introduction to Statistical Learning with Applications in R

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

S Programming — William Venables

William Venables

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Understanding Statistics Using R — Randall Schumacker

Understanding Statistics Using R

Randall Schumacker

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

An Introduction to Queueing Theory and Matrix-Analytic Methods — L. Breuer

An Introduction to Queueing Theory and Matrix-Analytic Methods

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Sampling Algorithms — Yves Tillé

Sampling Algorithms

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis — Uffe B. Kjærulff

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Uffe B. Kjærulff

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Space, Structure and Randomness Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology — Michel Bilodeau

Space, Structure and Randomness Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology

Michel Bilodeau

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Introduction to Probability Simulation and Gibbs Sampling with R — Eric A. Suess

Introduction to Probability Simulation and Gibbs Sampling with R

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Analyzing Medical Data Using S-PLUS — Brian Everitt

Analyzing Medical Data Using S-PLUS

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

R for Stata Users — Robert A. Muenchen

R for Stata Users

Robert A. Muenchen

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Applied Predictive Modeling — Max Kuhn

Applied Predictive Modeling

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Mathematical Computation with Maple V: Ideas and Applications Proceedings of the Maple Summer Workshop and Symposium, University of Michigan, Ann Arbor, June 28–30, 1993 — Thomas Lee

Mathematical Computation with Maple V: Ideas and Applications Proceedings of the Maple Summer Workshop and Symposium, University of Michigan, Ann Arbor, June 28–30, 1993

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

The Model Thinker What You Need to Know to Make Data Work for You — Scott E. Page

The Model Thinker What You Need to Know to Make Data Work for You

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

S+Functional Data Analysis User’s Manual for Windows ® — Douglas B. Clarkson

S+Functional Data Analysis User’s Manual for Windows ®

Douglas B. Clarkson

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Data Science Fundamentals with R, Python, and Open Data — Marco Cremonini

Data Science Fundamentals with R, Python, and Open Data

Marco Cremonini

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Essentials of Statistics for Scientists and Technologists — C. Mack

Essentials of Statistics for Scientists and Technologists

Themes: Mathematical & Statistical Software • Stochastic Processes • Probability & Statistics

Combinatorial Designs Construction and Analysis — Douglas R. Stinson

Combinatorial Designs Construction and Analysis

Douglas R. Stinson

Themes: Stochastic Processes • Probability & Statistics • Mathematics

How to Use Pasw Statistics A Step-By-Step Guide to Analysis and Interpretation — Brian C. Cronk

How to Use Pasw Statistics A Step-By-Step Guide to Analysis and Interpretation

Themes: Mathematical & Statistical Software • Probability & Statistics • Mathematics

SAS Macro Programming Made Easy — Michele M. Burlew

SAS Macro Programming Made Easy

Michele M. Burlew

Themes: Mathematical & Statistical Software • Probability & Statistics • Mathematics

SPSS Manual for the Triola Statistics — A. Peck

SPSS Manual for the Triola Statistics

Themes: Mathematical & Statistical Software • Probability & Statistics • Mathematics

Assessing and Improving Prediction and Classification Theory and Algorithms in C++ — Timothy Masters

Assessing and Improving Prediction and Classification Theory and Algorithms in C++

Timothy Masters

Themes: Stochastic Processes • Probability & Statistics • Mathematics

Vacation Queueing Models Theory and Applications — Naishuo Tian

Vacation Queueing Models Theory and Applications

Themes: Stochastic Processes • Probability & Statistics • Mathematics

Information Algebras Generic Structures For Inference — Jürg Kohlas

Information Algebras Generic Structures For Inference

Themes: Stochastic Processes • Probability & Statistics • Mathematics

Fans of Bayesian Essentials with R by Jean-Michel Marin will find 24 titles here, all united by Mathematical & Statistical Software, Stochastic Processes, Probability & Statistics. Authors represented include Clive Loader, Gareth James, William Venables, Randall Schumacker, and others.

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More by Jean-Michel Marin More books tagged Mathematical & Statistical Software Explore Stochastic Processes

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