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“ben lambert”

Showing 1 - 12 of 12 results for “ben lambert”
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  • A Student’s Guide to Bayesian Statistics

    by Ben Lambert ...
    Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics.Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at ... Read more

    $80.99 USD

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  • Statistical Rethinking

    A Bayesian Course with Examples in R and STAN

    by Richard McElreath ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This ... Read more

    $115.99 USD

  • Bayesian Statistics

    An Introduction

    by Peter M. Lee ...
    Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques.This new fourth edition looks at recent techniques such as variational methods, Bayesian importance ... Read more

    $58.00 USD

  • Introduction to Bayesian Econometrics

    by Edward Greenberg ...
    This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior ... Read more

    $50.09 USD

  • Bayesian Cognitive Modeling

    A Practical Course

    by Michael D. Lee, Eric-Jan Wagenmakers ...
    Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters ... Read more

    $50.89 USD

  • Doing Bayesian Data Analysis

    A Tutorial Introduction with R

    by John Kruschke ...
    There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained ... Read more

    $80.99 USD

  • Statistics for Mathematicians

    A Rigorous First Course

    by Victor M. Panaretos ...
    Series series Mathematics and Statistics (R0)
    This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an ... Read more

    $76.49 USD

  • Applied Bayesian Statistics

    With R and OpenBUGS Examples

    by Mary Kathryn Cowles ...
    Series series Mathematics and Statistics (R0)
    This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart ... Read more

    $107.09 USD

  • Introduction to Bayesian Statistics

    by William M. Bolstad, James M. Curran ...
    "...this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used in Bayesian statistical methods."There is a strong upsurge in the use of ... Read more

    $123.00 USD

  • Model-based Geostatistics for Global Public Health

    Methods and Applications

    by Peter J. Diggle, Emanuele Giorgi ...
    Series series Chapman & Hall/CRC Interdisciplinary Statistics
    Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source software and its application in public health research. In the public health problems that are the focus of this book, the authors describe and explain the pattern of spatial variation in a health outcome or exposure ... Read more

    $68.99 USD

  • Bayesian Essentials with R

    by Christian P. Robert, Jean-Michel Marin ...
    Series series Mathematics and Statistics (R0)
    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 ... Read more

    $98.09 USD

  • Applied Statistical Inference

    Likelihood and Bayes

    by Leonhard Held, Daniel Sabanés Bové ...
    Series series Mathematics and Statistics (R0)
    This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist ... Read more

    $62.99 USD