Items where Subject is "5.2.5 Bayesian methods"
- NCRM Typology (3427)
- 5. Quantitative Data Handling and Data Analysis (1328)
- 5.2 Statistical Theory and Methods of Inference (96)
- 5.2.5 Bayesian methods (20)
- 5.2 Statistical Theory and Methods of Inference (96)
- 5. Quantitative Data Handling and Data Analysis (1328)
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Andrews, Mark and Baguley, Thom (2016) What is the replication crisis and why does it matter? A Bayesian perspective. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath.
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Bijak, Jakub (2021) Agent Based Modelling for Social Research- Introduction. [Video]
Browne, William (2018) Using StatJR’s Statistical Analysis assistant to assist in automating statistical analysis. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Unpublished)
Bell, Andrew (2016) The Hierarchical age-period-cohort model: why does it find the results that it finds? In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath. (Submitted)
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Dienes, Zoltan (2016) Bayes factors as a measure of strength of evidence in replication studies. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath. (Unpublished)
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Hilton, Jason and Bijak, Jakub (2021) Statistical analysis of agent-based models. [Video]
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Katz, Gabriel (2021) Advanced Bayesian Methods: Assessing Convergence. [Video]
Katz, Gabriel (2021) Advanced Bayesian Methods: Gibbs Sampling. [Video]
Katz, Gabriel (2021) Advanced Bayesian Methods: Introduction. [Video]
Katz, Gabriel (2021) Advanced Bayesian Methods: Metropolis Hastings. [Video]
Katz, Gabriel (2021) Advanced Bayesian Methods: Speeding up Bayesian computations. [Video]
Katz, Gabriel (2021) Advanced Bayesian Methods: The Basics of Bayesian Computation. [Video]
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Leckie, George (2021) Cross Classified Models Part 2: Model fitting. [Video]
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Morey, Richard (2016) The mismatch between statistical thinking and statistical practice. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath.
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Zhirnov, Andrei (2021) Bayes rule. [Video]
Zhirnov, Andrei (2021) Bayes rule continued. [Video]
Zhirnov, Andrei (2021) Computations in R. [Video]
Zhirnov, Andrei (2021) DGP and Likelihood. [Video]
Zhirnov, Andrei (2021) Bayesian Data Analysis: Introduction. [Video]
Zhirnov, Andrei (2021) Bayesian analysis in a nutshell. [Video]