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Statistical Rethinking: A Bayesian Course with Examples in R and Stan > 수학/통계학

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Statistical Rethinking: A Bayesian Course with Examples in R and Stan
판매가격 25,000원
저자 McElreath
도서종류 외국도서
출판사 CRC
발행언어 영어
발행일 2015-12
페이지수 469
ISBN 9781482253443
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  • 도서 정보

    도서 상세설명

    Table of Contents

    The Golem of Prague
    Statistical golems
    Statistical rethinking
    Three tools for golem engineering
    Summary

    Small Worlds and Large Worlds
    The garden of forking data
    Building a model
    Components of the model
    Making the model go
    Summary
    Practice

    Sampling the Imaginary
    Sampling from a grid-approximate posterior
    Sampling to summarize
    Sampling to simulate prediction
    Summary
    Practice

    Linear Models
    Why normal distributions are normal
    A language for describing models
    A Gaussian model of height
    Adding a predictor
    Polynomial regression
    Summary
    Practice

    Multivariate Linear Models
    Spurious association
    Masked relationship
    When adding variables hurts
    Categorical variables
    Ordinary least squares and lm
    Summary
    Practice

    Overfitting, Regularization, and Information Criteria
    The problem with parameters
    Information theory and model performance
    Regularization
    Information criteria
    Using information criteria
    Summary
    Practice

    Interactions
    Building an interaction
    Symmetry of the linear interaction
    Continuous interactions
    Interactions in design formulas
    Summary
    Practice

    Markov Chain Monte Carlo
    Good King Markov and His island kingdom
    Markov chain Monte Carlo
    Easy HMC: map2stan
    Care and feeding of your Markov chain
    Summary
    Practice

    Big Entropy and the Generalized Linear Model
    Maximum entropy
    Generalized linear models
    Maximum entropy priors
    Summary

    Counting and Classification
    Binomial regression
    Poisson regression
    Other count regressions
    Summary
    Practice

    Monsters and Mixtures
    Ordered categorical outcomes
    Zero-inflated outcomes
    Over-dispersed outcomes
    Summary
    Practice

    Multilevel Models
    Example: Multilevel tadpoles
    Varying effects and the underfitting/overfitting trade-off
    More than one type of cluster
    Multilevel posterior predictions
    Summary
    Practice

    Adventures in Covariance
    Varying slopes by construction
    Example: Admission decisions and gender
    Example: Cross-classified chimpanzees with varying slopes
    Continuous categories and the Gaussian process
    Summary
    Practice

    Missing Data and Other Opportunities
    Measurement error
    Missing data
    Summary
    Practice

    Horoscopes
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