Posts Tagged ‘ Bayesian ’

Notes from 2nd Bayesian Mixer Meetup

April 19, 2016
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Notes from 2nd Bayesian Mixer Meetup

Last Friday the 2nd Bayesian Mixer Meetup (@BayesianMixer) took place at Cass Business School, thanks to Pietro Millossovich and Andreas Tsanakas, who helped to organise the event.Bayesian Mixer at CassFirst up was Davide De March talking about the cha...

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bayesboot: An R package for doing the Bayesian bootstrap

February 19, 2016
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bayesboot: An R package for doing the Bayesian bootstrap

I recently wrapped up a version of my R function for easy Bayesian bootstrappin’ into the package bayesboot. This package implements a function, also named bayesboot, which performs the Bayesian bootstrap introduced by Rubin in 1981. The Bayesian ...

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Bayesian Mixer on Meetup

February 16, 2016
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Bayesian Mixer on Meetup

We had our first successful Bayesian Mixer Meetup last Friday night at the Artillery Arms!We expected about 15 - 20 people to turn up, when we booked the function room overlooking Bunhill Cemetery and Bayes' grave. Now, looking at the photos taken duri...

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Bayesian and nonlinear

February 13, 2016
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Someone said years ago that you’ll know Bayesian statistics has become mainstream when people no longer put “Bayesian” in the titles of their papers. That day has come. While the Bayesian approach is still the preferred approach of a minority of statisticians, it’s no longer a novelty. If you want people to find your paper interesting, the substance […]

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Posterior Update of Bayes@Lund 2016

February 9, 2016
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Posterior Update of Bayes@Lund 2016

For the third year round I and Ullrika Sahlin arranged Bayes@Lund, a mini-conference bringing together researchers interested in or working with Bayesian methods in and around Sweden. This year we were thrilled to have over 70 attendees, both from ne...

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First Bayesian Mixer Meeting in London

February 2, 2016
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First Bayesian Mixer Meeting in London

There is a nice pub between Bunhill Fields and the Royal Statistical Society in London: The Artillery Arms. Clearly, the perfect place to bring people together to talk about Bayesian Statistics. Well, that’s what Jon Sedar (@jonsedar, applied.ai) and...

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Introduction to MCMC

January 23, 2016
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Introduction to MCMC

Markov Chain Monte Carlo (MCMC) is a technique for getting your work done when Monte Carlo won’t work. The problem is finding the expected value of f(X) where X is some random variable. If you can draw independent samples xi from X, the solution is simple: When it’s possible to draw these independent samples, the sum above is well […]

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bayes.js: A Small Library for Doing MCMC in the Browser

December 30, 2015
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Bayesian data analysis is cool, Markov chain Monte Carlo is the cool technique that makes Bayesian data analysis possible, and wouldn’t it be coolness if you could do all of this in the browser? That was what I thought, at least, and I’ve now made bayes.js: A small JavaScript library that implements an adaptive MCMC sampler and a couple of probability distributions, and that makes it relatively easy to implement…

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On Bayesian DSGE Modeling with Hard and Soft Restrictions

November 23, 2015
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A theory is essentially a restriction on a reduced form. It can be imposed directly (hard restrictions) or used as as a prior mean in a more flexible Bayesian analysis (soft restrictions). The soft restriction approach -- "theory as a shrinkage directi...

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A Bayesian Model to Calculate Whether My Wife is Pregnant or Not

November 6, 2015
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A Bayesian Model to Calculate Whether My Wife is Pregnant or Not

On the 21st of February, 2015, my wife had not had her period for 33 days, and as we were trying to conceive, this was good news! An average period is around a month, and if you are a couple trying to go triple, then a missing period is a good sign s...

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