wrobstory.github.io
Vincent and iPython | wrobstory.github.io
http://wrobstory.github.io/2013/04/vincent-ipython.html
Tue 23 April 2013. 2013-10-07 Update: Please see the new Vincent docs for updated iPython 1.0 plotting syntax. Thanks to the work of Abraham Flaxman. Vincent now supports iPython plotting, with just two additional lines of initialization required:. Unfortunately, js embeds like this don't play nice with nbviewer- to see it in action, go grab the example. And run it on a local server. I also recommend checking out Abraham's blog. Where he has some most excellent pixellated carrots.
stronginference.com
Burn-in, and Other MCMC Folklore - Strong Inference
http://stronginference.com/burn-in-and-other-mcmc-folklore.html
Burn-in, and Other MCMC Folklore. Sat 09 August 2014. I have been slowly working my way through The Handbook of Markov Chain Monte Carlo. A compiled volume edited by Steve Brooks. That I picked up at last week's Joint Statistical Meetings. The first chapter is a primer on MCMC by Charles Geyer. In particular, he questions the utility of burn-in:. Burn-in is only one method, and not a particuarly good method, for finding a good starting point. This yields MAP estimates for all the parameters in the model,...
stronginference.com
pymc - Strong Inference
http://stronginference.com/tag/pymc.html
Sun 30 November 2014. Calculating Bayes factors with PyMC. Statisticians are sometimes interested in comparing two (or more) models, with respect to their relative support by a particular dataset. This may be in order to select the best model to use for inference, or . Sat 09 August 2014. Burn-in, and Other MCMC Folklore. I have been slowly working my way through The Handbook of Markov Chain Monte Carlo. A compiled volume edited by Steve Brooks. That I picked up at last week's Joint Statistical Meetings .
stronginference.com
Implementing Dirichlet processes for Bayesian semi-parametric models - Strong Inference
http://stronginference.com/implementing-dirichlet-processes-for-bayesian-semi-parametric-models.html
Implementing Dirichlet processes for Bayesian semi-parametric models. Fri 07 March 2014. Use of the term "non-parametric" in the context of Bayesian analysis is something of a misnomer. This is because the first and fundamental step in Bayesian modeling is to specify a. A useful non-parametric approach for modeling random effects is the Dirichlet process. We require two random samples to generate a DP. First, take a draw of values from the baseline distribution:. Theta 1, theta 2, ldots sim G 0 $. G(x) =...
stronginference.com
Statistics - Strong Inference
http://stronginference.com/category/statistics.html
Posts categorized under: Statistics. Sun 30 November 2014. Calculating Bayes factors with PyMC. Statisticians are sometimes interested in comparing two (or more) models, with respect to their relative support by a particular dataset. This may be in order to select the best model to use for inference, or . Sat 09 August 2014. Burn-in, and Other MCMC Folklore. I have been slowly working my way through The Handbook of Markov Chain Monte Carlo. A compiled volume edited by Steve Brooks. Fri 07 March 2014.
myrefpool.blogspot.com
February 2015 ~ References notebook
http://myrefpool.blogspot.com/2015_02_01_archive.html
References pool - Milestones - Notebook. C и все все все. Coder Who Says Py. Discreet · and · discrete. Not a kernel guy. Thinking Asynchronously in C. Программирование - это просто. Friday, February 20, 2015. Http:/ www.hanselman.com/blog/ProperBenchmarkingToDiagnoseAndSolveANETSerializationBottleneck.aspx. Monday, February 16, 2015. Reactive programming in WPF. Http:/ obtics.codeplex.com. Http:/ clinq.codeplex.com. Https:/ rx.codeplex.com. Asynchronous data streams with Observables. Asynchronous data s...
myrefpool.blogspot.com
.NET serialization performance ~ References notebook
http://myrefpool.blogspot.com/2015/02/net-serialization-performance.html
References pool - Milestones - Notebook. C и все все все. Coder Who Says Py. Discreet · and · discrete. Not a kernel guy. Thinking Asynchronously in C. Программирование - это просто. Friday, February 20, 2015. Http:/ www.hanselman.com/blog/ProperBenchmarkingToDiagnoseAndSolveANETSerializationBottleneck.aspx. Subscribe to: Post Comments (Atom). От NET 1.4 к .NET 3.5. Ошибки файловых операций - I/O Error. VS 2010: CL : fatal error C1033: cannot open program database '. Анонимная рекурсия на C# и лямбды.
randomecologist.wordpress.com
Links | random ecologist
https://randomecologist.wordpress.com/about
A collection of half-thoughts on ecology and randomness. These are some blogs that I like:. Http:/ theoreticalecology.wordpress.com/. Http:/ scrogster.wordpress.com/. Http:/ www.statisticsblog.com/. Http:/ blogs.nature.com/boboh/. Http:/ methodsblog.wordpress.com/. Http:/ blog.echen.me/. Http:/ www.r-bloggers.com/. Http:/ www.guardian.co.uk/science/blog. On randomness – pt 2. R as a platform for open science. On randomness – pt 1. Leave a Reply Cancel reply. Enter your comment here.
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