Bayesian

Bayesian statistics blogs

Plot with ggplot2, interact, collaborate, and share online

July 31, 2014
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Plot with ggplot2, interact, collaborate, and share online

Editor’s note: This is a guest post by Marianne Corvellec from Plotly. This post is based on an interactive Notebook (click to view) she presented at the R User Conference on July 1st, 2014. Plotly is a platform for making, editing, and sharing graphs. If you are used to making plots with ggplot2, you can […]

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Tuning particle MCMC algorithms

June 8, 2014
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Tuning particle MCMC algorithms

Several papers have appeared recently discussing the issue of how to tune the number of particles used in the particle filter within a particle MCMC algorithm such as particle marginal Metropolis Hastings (PMMH). Three such papers are: Doucet, Arnaud, Michael Pitt, and Robert Kohn. Efficient implementation of Markov chain Monte Carlo when using an unbiased […]

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Tuning particle MCMC algorithms

June 8, 2014
By
Tuning particle MCMC algorithms

Several papers have appeared recently discussing the issue of how to tune the number of particles used in the particle filter within a particle MCMC algorithm such as particle marginal Metropolis Hastings (PMMH). Three such papers are: Doucet, Arnaud, Michael Pitt, and Robert Kohn. Efficient implementation of Markov chain Monte Carlo when using an unbiased […]

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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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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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