Blog Archives

Doggerel Doggies: The Generalized Linear Model

March 5, 2017
By
Doggerel Doggies: The Generalized Linear Model

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

Read more »

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

February 23, 2017
By
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 ...

Read more »

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

February 19, 2017
By
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...

Read more »

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

February 16, 2017
By
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 ...

Read more »

The Bayesian New Statistics – finally published

February 8, 2017
By
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...

Read more »

Courses doing Bayesian data analysis, June 2017

January 29, 2017
By
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...

Read more »

Bayesian assessment of null values

December 21, 2016
By
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...

Read more »

The Bayesian New Statistics: Hypothesis Testing, Estimation, Meta-Analysis, and Power Analysis from a Bayesian Perspective

December 16, 2016
By
The Bayesian New Statistics: Hypothesis Testing, Estimation, Meta-Analysis, and Power Analysis from a Bayesian Perspective

UPDATE: Now published, see this post.Two conceptual distinctions in the practice of data analysis. Rows show point-value hypothesis testing versus estimating magnitude with uncertainty. Columns show frequentist versus Bayesian methods. Cells indicate t...

Read more »

Is it legitimate to view the data and then decide on a distribution for the dependent variable?

November 17, 2016
By

An emailer asks, In Bayesian parameter estimation, is it legitimate to view the data and then decide on a distribution for the dependent variable? I have heard that this is not “fully Bayesian”. The shortest questions often probe some of the most d...

Read more »

Bayesian meta-analysis of two proportions in random control trials

November 3, 2016
By
Bayesian meta-analysis of two proportions in random control trials

For an article that's accepted pending final revision (available here at OSF), I developed a Bayesian meta-analysis of two proportions in random control trials. This blog post summarizes and links to the complete R scripts.We consider scenarios in whic...

Read more »


Subscribe

Email:

  Subscribe