Bayesian

Bayesian statistics blogs

Run MCMC to achieve effective sample size (ESS) of 10,000

February 23, 2018
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Run MCMC to achieve effective sample size (ESS) of 10,000

There's a great new book by Farrell and Lewandowsky, Computational Modeling of Cognition and Behavior (at the publisher, at Amazon.com), that includes some chapters on Bayesian methods. Each chapter includes a little "in vivo" commentary by an outside ...

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Run MCMC to achieve effective sample size (ESS) of 10,000

February 23, 2018
By
Run MCMC to achieve effective sample size (ESS) of 10,000

There's a great new book by Farrell and Lewandowsky, Computational Modeling of Cognition and Behavior (at the publisher, at Amazon.com), that includes some chapters on Bayesian methods. Each chapter includes a little "in vivo" commentary by an outside ...

Read more »

All articles from Bayesian special issue free-of-charge til April 6

February 9, 2018
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Special Virtual Issue: Bayesian Inference for PsychologyPsychonomic Bulletin & ReviewScroll down on the page linked here for the articles in the special issue on Bayesian data analysis. The list of links includes these:ArticlesBayesian data analysi...

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All articles from Bayesian special issue free-of-charge til April 6

February 9, 2018
By

Special Virtual Issue: Bayesian Inference for PsychologyPsychonomic Bulletin & ReviewScroll down on the page linked here for the articles in the special issue on Bayesian data analysis. The list of links includes these:ArticlesBayesian data analysi...

Read more »

Don’t treat ordinal data as metric — update of movie ratings

January 28, 2018
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Don’t treat ordinal data as metric — update of movie ratings

In a previous post I applied a Bayesian ordered-probit model to movie ratings and showed how the results differ from treating the data as if they were metric. The metric model used frequentist t tests (because that's what most applied researchers would...

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Don’t treat ordinal data as metric — update of movie ratings

January 28, 2018
By
Don’t treat ordinal data as metric — update of movie ratings

In a previous post I applied a Bayesian ordered-probit model to movie ratings and showed how the results differ from treating the data as if they were metric. The metric model used frequentist t tests (because that's what most applied researchers would...

Read more »

April and June workshops in Bayesian data analysis

January 28, 2018
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2018 April 26 - 28. Stats Camp, Brisbane, Australia. Taught by Prof. Michael Kalish.2018 June 11 - 15. Stats Camp, Albuquerque, New Mexico. Taught by Prof. Michael Kalish.2018 June 18 - 22. Global School for Empirical Research Methods, St. Ga...

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April and June workshops in Bayesian data analysis

January 28, 2018
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2018 April 26 - 28. Stats Camp, Brisbane, Australia. Taught by Prof. Michael Kalish.2018 June 11 - 15. Stats Camp, Albuquerque, New Mexico. Taught by Prof. Michael Kalish.2018 June 18 - 22. Global School for Empirical Research Methods, St. Ga...

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Comonads for scientific and statistical computing in Scala

January 22, 2018
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Comonads for scientific and statistical computing in Scala

Introduction In a previous post I’ve given a brief introduction to monads in Scala, aimed at people interested in scientific and statistical computing. Monads are a concept from category theory which turn out to be exceptionally useful for solving many problems in functional programming. But most categorical concepts have a dual, usually prefixed with “co”, … Continue reading Comonads for scientific and statistical computing in Scala

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Which movie is rated better? (Don’t treat ordinal ratings as metric)

December 25, 2017
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Which movie is rated better? (Don’t treat ordinal ratings as metric)

When deciding what movie to watch online, have you ever considered the star ratings provided by previous viewers? For example, Amazon.com has a 5-star rating system, in which reviewers can give a movie an ordinal rating from 1 star to 5 stars. Here are...

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