Skip to content

Scalability, continued

March 25, 2013

Now that I’ve fixed a bunch of bugs, the parallel scalability of my code has improved. This plot shows elapsed time for my R package, using pseudolikelihood (Rydén & Titterington 1998) to estimate β:

Pseudolikelihood scalability

That’s a bit more like it!


Rydén T & Titterington D M (1998) Computational Bayesian Analysis of Hidden Markov Models JCGS 7(2): 194-211


From → R

One Comment

Trackbacks & Pingbacks

  1. Interactive image stacks in R | Matt Moores

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

Richard Everitt's blog

Computational Bayesian statistics

Let's Look at the Figures

David Firth's blog

Nicholas Tierney

Computational Bayesian statistics

Mad (Data) Scientist

Musings, useful code etc. on R and data science


R news and tutorials contributed by (750) R bloggers

Another Astrostatistics Blog

The random musings of a reformed astronomer ...

Darren Wilkinson's research blog

Statistics, computing, data science, Bayes, stochastic modelling, systems biology and bioinformatics


Computational Bayesian statistics

StatsLife - Significance magazine

Computational Bayesian statistics

(badness 10000)

Computational Bayesian statistics

Igor Kromin

Computational Bayesian statistics


I can't get no

Xi'an's Og

an attempt at bloggin, nothing more...

Sam Clifford

Postdoctoral Fellow, Bayesian Statistics, Aerosol Science

Bayesian Research & Applications Group

Frontier Research in Bayesian Methodology & Computation

%d bloggers like this: