1 code implementation • 2 Oct 2018 • Maxime Rischard, Pierre E. Jacob, Natesh Pillai
Posterior distributions often feature intractable normalizing constants, called marginal likelihoods or evidence, that are useful for model comparison via Bayes factors.
Computation Methodology
2 code implementations • 25 May 2018 • Maxime Rischard, Natesh Pillai, Karen A. McKinnon
Our idea is to impute the hourly temperatures at the location of the measurements by borrowing information from the nearby stations that record hourly temperatures, which then can be used to create accurate summaries of temperature extremes.
Applications Methodology
1 code implementation • 9 Dec 2016 • Gautam Sabnis, Debdeep Pati, Barbara Engelhardt, Natesh Pillai
Our approach is novel in this regard: it includes all of the $n$ samples in each subproblem and, instead, splits the dimension $p$ into smaller subsets for each subproblem.
Methodology
