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Showing 1 - 12 of 12 results for “wr gilks”
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  • Markov Chain Monte Carlo in Practice

    Edited by W.R. Gilks, S. Richardson, David Spiegelhalter ...
    Series series Chapman & Hall/CRC Interdisciplinary Statistics
    In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France, ... Read more

    $329.99 CAD

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  • Causal Inference in Statistics

    A Primer

    by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell ...
    CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written ... Read more

    $53.99 CAD

  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    by Bradley Efron, Trevor Hastie ...
    Series Book 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... Read more

    $81.99 CAD

  • 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

    $69.99 CAD

  • Bayesian Biostatistics

    by Emmanuel Lesaffre, Andrew B. Lawson ...
    Series series Statistics in Practice
    The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of ... Read more

    $86.99 CAD

  • Hidden Markov Models for Time Series

    An Introduction Using R, Second Edition

    by Walter Zucchini, Iain L. MacDonald, Roland Langrock ...
    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian ... Read more

    $91.99 CAD

  • Cause and Correlation in Biology

    A User's Guide to Path Analysis, Structural Equations and Causal Inference with R

    by Bill Shipley ...
    Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses when randomised experiments cannot be performed. This completely revised and updated edition features detailed explanations for carrying out ... Read more

    $67.99 CAD

  • Bayesian Analysis of Stochastic Process Models

    by Mike Wiper, Fabrizio Ruggeri, David Insua ...
    Series Book 978 - Wiley Series in Probability and Statistics
    Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models.Key features:Explores Bayesian ... Read more

    $126.99 CAD

  • Latent Variable Models and Factor Analysis

    A Unified Approach

    by David J. Bartholomew, Martin Knott, Irini Moustaki ...
    Series Book 904 - Wiley Series in Probability and Statistics
    Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for ... Read more

    $98.99 CAD

  • Mathematical Statistics

    by Dieter Rasch, Dieter Schott ...
    Explores mathematical statistics in its entirety—from the fundamentals to modern methodsThis book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first ... Read more

    $95.99 CAD

  • 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

    $141.99 CAD

  • Bayesian Disease Mapping

    Hierarchical Modeling in Spatial Epidemiology, Third Edition

    by Andrew B. Lawson ...
    Series series Chapman & Hall/CRC Interdisciplinary Statistics
    Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition provides an up-to-date, cohesive account of the full range of ... Read more

    $104.99 CAD