Bayesian Methods in Statistics : From Concepts to Practice
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Bayesian Methods in StatisticsFrom Concepts to Practice\nAuthor(s): Mel Slater\nFormat: Paperback\nPublisher: SAGE Publications Ltd, United Kingdom\nImprint: SAGE Publications Ltd\nISBN-13: 9781529768602, 978-1529768602\nSynopsis\nThis book walks you through learning probability and statistics from a Bayesian point of view.\n From an introduction to probability theory through to frameworks for doing rigorous calculations of probability, it discusses Bayes Theorem before illustrating how to use it in a variety of different situations with data addressing social and psychological issues.\n\nThe book also:\n\nEquips you with coding skills in the statistical modelling language Stan and programming language R.\nDiscusses how Bayesian approaches to statistics compare to classical approaches.\nIntroduces Markov Chain Monte Carlo methods for doing Bayesian statistics through computer simulations, so you understand how Bayesian solutions are implemented.\n\nFeatures include an introduction t.
Bayesian Methods in Statistics : From Concepts to Practice
Bayesian Methods in StatisticsFrom Concepts to Practice\nAuthor(s): Mel Slater\nFormat: Paperback\nPublisher: SAGE Publications Ltd, United Kingdom\nImprint: SAGE Publications Ltd\nISBN-13: 9781529768602, 978-1529768602\nSynopsis\nThis book walks you through learning probability and statistics from a Bayesian point of view.\n From an introduction to probability theory through to frameworks for doing rigorous calculations of probability, it discusses Bayes Theorem before illustrating how to use it in a variety of different situations with data addressing social and psychological issues.\n\nThe book also:\n\nEquips you with coding skills in the statistical modelling language Stan and programming language R.\nDiscusses how Bayesian approaches to statistics compare to classical approaches.\nIntroduces Markov Chain Monte Carlo methods for doing Bayesian statistics through computer simulations, so you understand how Bayesian solutions are implemented.\n\nFeatures include an introduction t.
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