ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

This file tries to take aspects of the Bayesian workflow paper by Gelman and colleagues and apply them to an example scenario in experimental psychology / cognitive neuroscience. The workflow that I ...

This repository holds open source Stan models, data simulators, and real data. There are models translating those found in books, most of the BUGS examples, and some basic examples used in the manual.

Abstract: In this paper, we propose a two-stage channel estimation scheme for two-way MIMO relay systems with a single relay antenna. We assume the training process is performed under correlated ...