Bayesian Statistical Modeling with Stan, R, and Python
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Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-981-19-4755-1
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Book Chapters
The following chapters of this book are listed in IDEAS- Kentaro Matsuura, 2022. "Overview of Statistical Modeling," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 3-12, Springer.
- Kentaro Matsuura, 2022. "Overview of Bayesian Inference," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 13-28, Springer.
- Kentaro Matsuura, 2022. "Overview of Stan," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 31-42, Springer.
- Kentaro Matsuura, 2022. "Simple Linear Regression," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 43-66, Springer.
- Kentaro Matsuura, 2022. "Basic Regressions and Model Checking," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 67-95, Springer.
- Kentaro Matsuura, 2022. "Introduction of Probability Distributions," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 99-128, Springer.
- Kentaro Matsuura, 2022. "Issues of Regression," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 129-150, Springer.
- Kentaro Matsuura, 2022. "Hierarchical Model," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 151-181, Springer.
- Kentaro Matsuura, 2022. "How to Improve MCMC ConvergenceMCMC convergence," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 183-212, Springer.
- Kentaro Matsuura, 2022. "Discrete Parameters," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 213-233, Springer.
- Kentaro Matsuura, 2022. "Time Series Data Analysis with State Space Model," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 237-284, Springer.
- Kentaro Matsuura, 2022. "Spatial Data Analysis Using Gaussian Markov Random Fields and Gaussian Processes," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 285-329, Springer.
- Kentaro Matsuura, 2022. "Usages of MCMC Samples from Posterior and Predictive Distributions," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 331-344, Springer.
- Kentaro Matsuura, 2022. "Other Advanced Topics," Springer Books, in: Bayesian Statistical Modeling with Stan, R, and Python, chapter 0, pages 345-383, Springer.
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