Bayesian

Bayesian statistics blogs

Doggerel Doggies: The Generalized Linear Model

March 5, 2017
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Doggerel Doggies: The Generalized Linear Model

The opening "poem" from Chapter 15 of DBDA2E. The color coding explains the correspondence of metaphor to math.

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Workshops & courses doing Bayesian data analysis, June – Aug 2017

February 23, 2017
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Workshops & courses doing Bayesian data analysis, June – Aug 2017

Upcoming multi-day workshops in doing Bayesian data analysis (2017):June 5 - 9. Stats Camp, Albuquerque, New Mexico (USA). Taught by Prof. John Kruschke. June 12 - 16. Global School for Empirical Research Methods, St. Gallen, Switzerland. Taught by ...

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Interpreting Bayesian posterior distribution of a parameter: Is density meaningful?

February 19, 2017
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Interpreting Bayesian posterior distribution of a parameter: Is density meaningful?

Background: Suppose a researcher is interested in the Bayesian posterior distribution of a parameter, because the parameter is directly meaningful in the research domain. This occurs, for example, in psychometrics. Specifically, in item response theory...

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Equivalence testing (two one-sided test) and NHST compared with HDI and ROPE

February 16, 2017
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Equivalence testing (two one-sided test) and NHST compared with HDI and ROPE

In this blog post I show that frequentist equivalence testing (using the procedure of two one-sided tests: TOST) with null hypothesis significance testing (NHST) can produce conflicting decisions for the same parameter values, that is, TOST can accept ...

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The Bayesian New Statistics – finally published

February 8, 2017
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The Bayesian New Statistics – finally published

The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective.Abstract: In the practice of data analysis, there is a conceptual distinction between hypothesis testing, on the one hand, and es...

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A quick introduction to Apache Spark for statisticians

February 8, 2017
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A quick introduction to Apache Spark for statisticians

Introduction Apache Spark is a Scala library for analysing "big data". It can be used for analysing huge (internet-scale) datasets distributed across large clusters of machines. The analysis can be anything from the computation of simple descriptive statistics associated with the datasets, through to rather sophisticated machine learning pipelines involving data pre-processing, transformation, nonlinear model … Continue reading A quick introduction to Apache Spark for statisticians

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Courses doing Bayesian data analysis, June 2017

January 29, 2017
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Courses doing Bayesian data analysis, June 2017

UPDATED >HERE<. Choose from two multi-day workshops doing Bayesian data analysis in June, 2017:2017 June 20 - 23. Four-day course. Interuniversity Consortium for Political and Social Research (ICPSR), Ann Arbor, Michigan. 2017 June 5 - 9. Five-da...

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Books on Scala for statistical computing and data science

December 22, 2016
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Books on Scala for statistical computing and data science

Introduction People regularly ask me about books and other resources for getting started with Scala for statistical computing and data science. This post will focus on books, but it’s worth briefly noting that there are a number of other resources available, on-line and otherwise, that are also worth considering. I particularly like the Coursera course … Continue reading Books on Scala for statistical computing and data science

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Scala for Data Science [book review]

December 22, 2016
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Scala for Data Science [book review]

This post will review the book: Scala for Data Science, Bugnion, Packt, 2016. Disclaimer: This book review has not been solicited by the publisher (or anyone else) in any way. I purchased the review copy of this book myself. I have not received any benefit from the writing of this review. Introduction On this blog … Continue reading Scala for Data Science [book review]

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Bayesian assessment of null values

December 21, 2016
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Bayesian assessment of null values

A blog post by Christian Robert considered an ancient (2011!) article titled "Bayesian assessment of null values via parameter estimation and model comparison." Here I'll try to clarify the ideas from way back then through the lens of more recent diagr...

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