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Statistical Rethinking | Bayesian Modeling | Richard McElreath

Richard McElreath

Comprehensive introduction to Bayesian statistical modeling, covering probability theory, MCMC, and practical applications. Taught by renowned statistician Richard McElreath.

University CoursesMachine LearningR

Introduction

This course, "Statistical Rethinking Winter 2015" by Richard McElreath, provides a comprehensive introduction to Bayesian statistical modeling. The course covers a wide range of topics, including probability theory, Markov Chain Monte Carlo (MCMC) methods, and the application of Bayesian techniques to real-world problems.

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Highlights

  • Comprehensive coverage of Bayesian statistical modeling
  • Hands-on demonstrations and examples using the R programming language
  • Emphasis on practical applications and problem-solving
  • Taught by renowned statistician Richard McElreath

Recommendation

This course is highly recommended for anyone interested in learning Bayesian statistics and its practical applications. It is suitable for students, researchers, and professionals in fields such as social sciences, biology, and data science who want to deepen their understanding of statistical modeling and inference.

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