Blog Archives

Potpourri 2: more misc emails regarding doing Bayesian data analysis

April 1, 2014
By

More miscellaneous communications with readers. (I have omitted all the salutations and pleasantries to save space here, but most correspondents do begin and end their messages with introductions and salutations that I truly appreciate.) Again, apologi...

Read more »

Potpourri of recent inquires about doing Bayesian data analysis

March 22, 2014
By

I get a lot of email asking about the book and the blog. Too often, I say to myself, "That's interesting. I'll have to think about it and reply later." And then later never comes. My apologies to everyone to whom I have not yet replied. Below is a samp...

Read more »

Bayesian estimation and precision as the goal for data collection (expanded)

March 15, 2014
By

Precision as the goal for data collection, talk at U.C. Irvine, March 14, 2014.Part 1: Rejecting null is not enough, also need estimate and precision. Bayesian estimation supersedes confidence intervals and "the new statistics". Part 2: Two Bayesian w...

Read more »

Recent Advances in Bayesian Inference at U.C. Irvine, March 14

March 8, 2014
By
Recent Advances in Bayesian Inference at U.C. Irvine, March 14

Recent Advances in Bayesian InferenceVenue:University of California at Irvine,1517 Social and Behavioral Sciences Gateway buildingDate:Friday, March 14, 2014Speakers:9:30 John Kruschke (Indiana University). Precision as the goal for data collection.10:...

Read more »

Bayesian Tests to Quantify the Result of a Replication Attempt

February 22, 2014
By

This manuscript looks like a nice use of Bayes factors to assess replication results. I have not read it yet in detail, but the idea sounds right on target. From the abstract: To quantify replication outcomes we propose a novel Bayesian replication te...

Read more »

Improved icons for Bayesian and frequentist analysis

February 14, 2014
By
Improved icons for Bayesian and frequentist analysis

This post presents icons that attempt to capture the essence of Bayesian and frequentist analysis. There are four icons: Bayesian and frequentist approaches to decisions about null values, and Bayesian and frequentist approaches to parameter estimation...

Read more »

Summer courses and workshop in doing Bayesian data analysis

January 23, 2014
By

Summer courses and workshop in doing Bayesian data analysis: Workshop, University of Oslo, Norway, June 4-6, 2014.Course offered through the University of St. Gallen Summer School in Empirical Research Methods (SSERM), St. Gallen, Switzerland, June 10-...

Read more »

Bayesian variable selection in multiple regression: Sensitivity to prior

January 8, 2014
By
Bayesian variable selection in multiple regression: Sensitivity to prior

[Notice updates appended January 10, 2014.] In multiple regression, analysts are often concerned with variable selection: Of the many predictor variables, which ones should be selected for inclusion in the model? Bayesian model comparison seems to be a...

Read more »

Icons for the essence of Bayesian and frequentist data analysis

December 28, 2013
By
Icons for the essence of Bayesian and frequentist data analysis

Goal: Simple graphical icons that capture the essence of Bayesian data analysis and frequentist data analysis. Why? Visual icons serve as mnemonic cognitive packaging that facilitate initial understanding and subsequent remembering. In this post, I pro...

Read more »

Optional stopping in data collection: p values, Bayes factors, credible intervals, precision

November 5, 2013
By
Optional stopping in data collection: p values, Bayes factors, credible intervals, precision

This post argues that data collection should stop when a desired degree of precision is achieved (as measured by a Bayesian credible interval), not when a critical p value is achieved, not when a critical Bayes factor is achieved, and not even when a B...

Read more »


Subscribe

Email:

  Subscribe