Posts Tagged ‘ JRSSB ’

Catching up faster by switching sooner

October 25, 2011
By
Catching up faster by switching sooner

Here is our discussion (with Nicolas Chopin) of the Read Paper of last Wednesday by T. van Erven, P. Grünwald and S. de Rooij (Centrum voor Wiskunde en Informatica, Amsterdam), entitled Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the Akaike information criterion–Bayesian information criterion dilemma. It

Read more »

Riemann, Langevin & Hamilton [reply]

September 27, 2010
By
Riemann, Langevin & Hamilton [reply]

Here is a (prompt!) reply from Mark Girolami corresponding to the earlier post: In preparation for the Read Paper session next month at the RSS, our research group at CREST has collectively read the Girolami and Calderhead paper on Riemann manifold Langevin and Hamiltonian Monte Carlo methods and I hope we will again produce a

Read more »

Top 7 articles of the week

  1. Top 100 R packages for 2013 (Jan-May)!
  2. A list of R packages, by popularity
  3. Dynamic Data Visualizations in the Browser Using Shiny
  4. Computerworld's Beginners Guide to R
  5. Select operations on R data frames
  6. Dave Harris on Maximum Likelihood Estimation
  7. Evaluating Optimization Algorithms in MATLAB, Python, and R

Sponsors

Mango solutions
mango-solutions.com
Zero Inflated Models and Generalized Linear Mixed Models with R
Quantide: statistical consulting and training
RStudio homepage
RStudio: a free and open source IDE for R
REvolution analytics
HMS Analytical Software GmbH
http://www.eoda.de
Zero Inflated Models and Generalized Linear Mixed Models with R Zero Inflated Models and Generalized Linear Mixed Models with R. Zuur, Saveliev, Ieno (2012).