소장자료
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020 | ▼a036713991X▼q(hbk.)▲ | ||
020 | ▼z9780429029608▼q(ebk.)▲ | ||
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040 | ▼aYDX▼beng▼cYDX▼dOCLCQ▼dUZ0▼dOCLCF▼dCHVBK▼dOCLCO▼dEQO▼dCUV▼dAJB▼dINU▼dOCLCO▼dORE▼dOCL▼dU3W▼dDLC▼d221016▲ | ||
082 | 0 | 4 | ▼a519.542▼223▲ |
090 | ▼a519.542▼bM141s2▲ | ||
100 | 1 | ▼aMcElreath, Richard,▼d1973-▲ | |
245 | 1 | 0 | ▼aStatistical rethinking :▼ba Bayesian course with examples in R and Stan /▼cby Richard McElreath.▲ |
250 | ▼a2nd ed.▲ | ||
260 | ▼aBoca Raton :▼bCRC Press,▼c2020.▲ | ||
300 | ▼axvii, 593 p. :▼bill. ;▼c26 cm.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼aunmediated▼bn▼2rdamedia▲ | ||
338 | ▼avolume▼2rdacarrier▲ | ||
490 | 0 | ▼aChapman & Hall/CRC texts in statistical science series▲ | |
500 | ▼a"A Chapman & Hall book."▲ | ||
500 | ▼aRevised edition of: Statistical rethinking : A Bayesian course with examples in R and Stan / Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. [2016].▲ | ||
504 | ▼aIncludes bibliographical references (p. 557-583) and indexes.▲ | ||
505 | 0 | ▼aThe Golem of Prague -- Small worlds and large worlds -- Sampling the imaginary -- Geocentric models -- The many variables & the spurious waffles -- The haunted DAG & the causal terror -- Ulysses' compass -- Conditional manatees -- Markov chain Monte Carlo -- Big entropy and the generalized linear model -- God spiked the integers -- Monsters and mixtures -- Models with memory -- Adventures in covariance -- Missing data and other opportunities -- Generalized linear madness -- Horoscopes.▲ | |
520 | ▼a"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 unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses."--Back cover.▲ | ||
650 | 0 | ▼aBayesian statistical decision theory.▲ | |
650 | 0 | ▼aR (Computer program language).▲ | |
650 | 0 | ▼aComputer software.▲ | |
650 | 0 | ▼aComputer programs.▲ | |
650 | 1 | 2 | ▼aMathematical Computing.▲ |
650 | 1 | 2 | ▼aData Interpretation, Statistical.▲ |
650 | 1 | 2 | ▼aBayes Theorem.▲ |
650 | 2 | 2 | ▼aSoftware.▲ |
Statistical rethinking : a Bayesian course with examples in R and Stan
자료유형
국외단행본
서명/책임사항
Statistical rethinking : a Bayesian course with examples in R and Stan / by Richard McElreath.
판사항
2nd ed.
발행사항
Boca Raton : CRC Press , 2020.
형태사항
xvii, 593 p. : ill. ; 26 cm.
일반주기
"A Chapman & Hall book."
Revised edition of: Statistical rethinking : A Bayesian course with examples in R and Stan / Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. [2016].
Revised edition of: Statistical rethinking : A Bayesian course with examples in R and Stan / Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. [2016].
서지주기
Includes bibliographical references (p. 557-583) and indexes.
내용주기
The Golem of Prague -- Small worlds and large worlds -- Sampling the imaginary -- Geocentric models -- The many variables & the spurious waffles -- The haunted DAG & the causal terror -- Ulysses' compass -- Conditional manatees -- Markov chain Monte Carlo -- Big entropy and the generalized linear model -- God spiked the integers -- Monsters and mixtures -- Models with memory -- Adventures in covariance -- Missing data and other opportunities -- Generalized linear madness -- Horoscopes.
요약주기
"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 unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses."--Back cover.
주제
ISBN
9780367139919 036713991X
청구기호
519.542 M141s2
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