Computations involved in Bayesian approach to practical model selection problems are usually very difficult. Computational simplifications are sometimes possible, but are not generally applicable.

The aim of this project is to develop a model that utilizes Bayesian methods to predict a patient's length of stay (LOS) in the Intensive Care Unit (ICU) using de-identified public in-patient datasets ...

This model has been replaced by fishblicc which has better performance and is more flexible. This is the Bayesian Length Catch Curve project to estimate mortality on single length frequency samples.

A surprising number of recent Bayesian phylogenetic analyses contain branch-length estimates that are several orders of magnitude longer than corresponding maximum-likelihood estimates. The levels of ...

Abstract: Active learning algorithms select a subset of data for annotation to maximize the model performance on a budget. One such algorithm is Expected Gradient Length, which as the name suggests ...

Abstract: This work presents new CIR estimators for OFDM systems over frequency selective channels, where the length of the CIR is unknown a-priori. We derive the MMSE estimator for this model using ...