Bayesian

Bayesian statistics blogs

Potpourri 2: more misc emails regarding doing Bayesian data analysis

April 1, 2014
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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...

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Potpourri of recent inquires about doing Bayesian data analysis

March 22, 2014
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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...

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

March 15, 2014
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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...

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

March 8, 2014
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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:...

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Parallel Monte Carlo using Scala

February 23, 2014
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Parallel Monte Carlo using Scala

Introduction In previous posts I have discussed general issues regarding parallel MCMC and examined in detail parallel Monte Carlo on a multicore laptop. In those posts I used the C programming language in conjunction with the MPI parallel library in order to illustrate the concepts. In this post I want to take the example from […]

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Bayesian Tests to Quantify the Result of a Replication Attempt

February 22, 2014
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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...

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Improved icons for Bayesian and frequentist analysis

February 14, 2014
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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...

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Online R and Plotly Graphs: Canadian and U.S. Maps, Old Faithful with Multiple Axes, & Overlaid Histograms

February 6, 2014
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Online R and Plotly Graphs: Canadian and U.S. Maps, Old Faithful with Multiple Axes, & Overlaid Histograms

Guest post by Matt Sundquist of plot.ly. Plotly is a social graphing and analytics platform. Plotly’s R library lets you make and share publication-quality graphs online. Your work belongs to you, you control privacy and sharing, and public use is free (like GitHub). We are in beta, and would love your feedback, thoughts, and advice. […]

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Introduction to the particle Gibbs sampler

January 25, 2014
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Introduction to the particle Gibbs sampler

Introduction Particle MCMC (the use of approximate SMC proposals within exact MCMC algorithms) is arguably one of the most important developments in computational Bayesian inference of the 21st Century. The key concepts underlying these methods are described in a famously impenetrable “read paper” by Andrieu et al (2010). Probably the most generally useful method outlined […]

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Summer courses and workshop in doing Bayesian data analysis

January 23, 2014
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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-...

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