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  • Markov Chain Monte Carlo

    Stochastic Simulation for Bayesian Inference

    Series series Chapman & Hall/CRC Texts in Statistical Science
    Marking a pivotal moment in the evolution of Bayesian inference, this third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fields of statistics and the broader landscape of data science over the past two decades. Building on the foundations laid by its first two editions, this updated volume, Markov Chain Monte Carlo: ... Leer más

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  • Building a Platform for Data-Driven Pandemic Prediction

    From Data Modelling to Visualisation - The CovidLP Project

    This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive plotting programs.The focus is on the integration of statistics and computing tools rather than on ... Leer más

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  • Markov Chain Monte Carlo

    Stochastic Simulation for Bayesian Inference, Second Edition

    Series series Chapman & Hall/CRC Texts in Statistical Science
    While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new applications, Markov Chain Monte Carlo: Stochastic Simul ... Leer más

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  • Statistical Inference

    An Integrated Approach, Second Edition

    Series series Chapman & Hall/CRC Texts in Statistical Science
    This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference. Along with more examples and exercises, this second edition includes new material on empirical Bayes and penalized likelihoods and their impact on regression models and offers expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models. It also ... Leer más

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  • Bayesian Analysis with Python

    Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ

    Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZA modern, practical and computational approach to Bayesian statistical modelingA tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises.Book DescriptionThe second edition of ... Leer más

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  • Statistics Study Guide: Permutation, Random Variable, Probability Axioms, Bayesian Probability, Decision Theory, Chebyshev's Inequality, Chi-Square & Student's T-Distribution, Sampling, Correlation (Mobi Study Guides)

    Boost Your grades with this illustrated Study Guide. You will use it from an undergraduate school all the way to graduate school and beyond.FEATURES:- Written in concise and clear English - Illustrated with graphs and diagrams - Use your down time to prepare for an exam. - Includes Glossary of probability and statistics TABLE OF CONTENTS:Introduction: History Conceptual overview Statistical ... Leer más

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  • Bayesian Cognitive Modeling

    A Practical Course

    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 ... Leer más

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  • Bayesian Biostatistics

    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 ... Leer más

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  • Statistics

    This is the first edition of this Statistics book. The author desires to help the students understand the concepts and principles of different subject matters of Statistics which are presented in this book. The author believes that this book will serve as an effective instructional material for students taking up Statistics. ... Leer más

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  • Negative Binomial Regression

    This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, ... Leer más

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  • Data Mining and Business Analytics with R

    Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and ... Leer más

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  • Asymptotic Statistics

    Series Libro 3 - Cambridge Series in Statistical and Probabilistic Mathematics
    This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the ... Leer más

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