Comments for Darren Wilkinson's research blog
https://darrenjw.wordpress.com
Statistics, computing, data science, Bayes, stochastic modelling, systems biology and bioinformaticsThu, 16 Feb 2017 07:17:59 +0000hourly1http://wordpress.com/Comment on Getting started with Bayesian variable selection using JAGS and rjags by Writing reversible jump MCMC in NIMBLE – Mubashir Qasim
https://darrenjw.wordpress.com/2012/11/20/getting-started-with-bayesian-variable-selection-using-jags-and-rjags/#comment-6491
Thu, 16 Feb 2017 07:17:59 +0000http://darrenjw.wordpress.com/?p=1137#comment-6491[…] that is multipled by 0 is effectively removed from the model. Darren Wilkinson has a nice old blog post on using indicator variables for Bayesian variable selection in BUGS code. The problem with using indicator variables is that they can create a lot of extra […]
]]>Comment on Getting started with Bayesian variable selection using JAGS and rjags by Writing reversible jump MCMC in NIMBLE - Use-R!Use-R!
https://darrenjw.wordpress.com/2012/11/20/getting-started-with-bayesian-variable-selection-using-jags-and-rjags/#comment-6490
Thu, 16 Feb 2017 04:14:42 +0000http://darrenjw.wordpress.com/?p=1137#comment-6490[…] that is multipled by 0 is effectively removed from the model. Darren Wilkinson has a nice old blog post on using indicator variables for Bayesian variable selection in BUGS code. The problem with using indicator variables is that they can create a lot of extra […]
]]>Comment on Getting started with Bayesian variable selection using JAGS and rjags by Writing reversible jump MCMC in NIMBLE – NIMBLE
https://darrenjw.wordpress.com/2012/11/20/getting-started-with-bayesian-variable-selection-using-jags-and-rjags/#comment-6489
Wed, 15 Feb 2017 23:29:07 +0000http://darrenjw.wordpress.com/?p=1137#comment-6489[…] that is multipled by 0 is effectively removed from the model. Darren Wilkinson has a nice old blog post on using indicator variables for Bayesian variable selection in BUGS code. The problem with using indicator variables is that they can create a lot of extra […]
]]>Comment on Books on Scala for statistical computing and data science by A quick introduction to Apache Spark for statisticians – Darren Wilkinson's research blog
https://darrenjw.wordpress.com/2016/12/22/books-on-scala-for-statistical-computing-and-data-science/#comment-6457
Wed, 08 Feb 2017 12:26:49 +0000http://darrenjw.wordpress.com/?p=1748#comment-6457[…] Books on Scala for statistical computing and data science […]
]]>Comment on Data frames and tables in Scala by A quick introduction to Apache Spark for statisticians – Darren Wilkinson's research blog
https://darrenjw.wordpress.com/2015/08/21/data-frames-and-tables-in-scala/#comment-6456
Wed, 08 Feb 2017 12:26:42 +0000http://darrenjw.wordpress.com/?p=1607#comment-6456[…] Data frames and tables in Scala […]
]]>Comment on Brief introduction to Scala and Breeze for statistical computing by A quick introduction to Apache Spark for statisticians – Darren Wilkinson's research blog
https://darrenjw.wordpress.com/2013/12/30/brief-introduction-to-scala-and-breeze-for-statistical-computing/#comment-6455
Wed, 08 Feb 2017 12:26:41 +0000http://darrenjw.wordpress.com/?p=1375#comment-6455[…] Breeze is the standard Scala library for scientific and statistical computing. I’ve given a quick introduction to Breeze in a previous post. Spark has a dependence on Breeze, and therefore can be used from inside the […]
]]>Comment on First steps with monads in Scala by A quick introduction to Apache Spark for statisticians – Darren Wilkinson's research blog
https://darrenjw.wordpress.com/2016/04/15/first-steps-with-monads-in-scala/#comment-6454
Wed, 08 Feb 2017 12:26:38 +0000http://darrenjw.wordpress.com/?p=1672#comment-6454[…] First steps with monads in Scala […]
]]>Comment on Metropolis Hastings MCMC when the proposal and target have differing support by Jackson Curtis
https://darrenjw.wordpress.com/2012/06/04/metropolis-hastings-mcmc-when-the-proposal-and-target-have-differing-support/#comment-6432
Thu, 02 Feb 2017 23:21:21 +0000http://darrenjw.wordpress.com/?p=977#comment-6432Can someone explain how there’s a difference from continuing sampling till you get an all positive result from sampling, getting a negative result, rejecting it, and starting the process all over again. I don’t see the difference.
]]>Comment on The pseudo-marginal approach to “exact approximate” MCMC algorithms by Pseudo-Marginal MCMC « Sarah Oscroft
https://darrenjw.wordpress.com/2010/09/20/the-pseudo-marginal-approach-to-exact-approximate-mcmc-algorithms/#comment-6429
Thu, 02 Feb 2017 14:31:23 +0000http://darrenjw.wordpress.com/?p=130#comment-6429[…] further information and references, see https://darrenjw.wordpress.com/2010/09/20/the-pseudo-marginal-approach-to-exact-approximate-mcmc-alg…or […]
]]>Comment on First steps with monads in Scala by Lakshmana Maddineni
https://darrenjw.wordpress.com/2016/04/15/first-steps-with-monads-in-scala/#comment-6420
Wed, 01 Feb 2017 13:46:41 +0000http://darrenjw.wordpress.com/?p=1672#comment-6420Awesome article on Monad. Thank you sir!
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