Posts Tagged ‘ Bayesian ’

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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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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Loss Developments via Growth Curves and Stan

November 3, 2015
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Loss Developments via Growth Curves and Stan

Last week I posted a biological example of fitting a non-linear growth curve with Stan/RStan. Today, I want to apply a similar approach to insurance data using ideas by David Clark [1] and James Guszcza [2].Instead of predicting the growth of dugongs (...

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Loss Developments via Growth Curves and Stan

November 3, 2015
By
Loss Developments via Growth Curves and Stan

Last week I posted a biological example of fitting a non-linear growth curve with Stan/RStan. Today, I want to apply a similar approach to insurance data using ideas by David Clark [1] and James Guszcza [2].Instead of predicting the growth of dugongs (...

Read more »

Bayesian regression models using Stan in R

September 1, 2015
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Bayesian regression models using Stan in R

It seems the summer is coming to end in London, so I shall take a final look at my ice cream data that I have been playing around with to predict sales statistics based on temperature for the last couple of weeks [1], [2], [3].Here I will use the new b...

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Basic MCMC and Bayesian statistics in… BASIC!

August 9, 2015
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Basic MCMC and Bayesian statistics in… BASIC!

The BASIC programming language was at one point the most widely spread programming language. Many home computers in the 80s came with BASIC (like the Commodore 64 and the Apple II), and in the 90s both DOS and Windows 95 included a copy of the QBasic...

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