3 accepted papers
Bayesian additive spanning tree (BAST) is an useful tool for interpretable, non-parametric regression on complex constrained domains. It improves upon the performance of Bayesian additive regression trees (BART) by replacing axis-aligned splits through binary tree components by cuts on a spanning tr…
Recent advances in neuroscience have enabled researchers to measure the activities of large numbers of neurons simultaneously in behaving animals. Scientists have access to the fluorescence of each of the neurons that provides a first-order approximation to the neural activity over time. Determining…
Gaussian process is an indispensable tool in clustering functional data, owing to it’s flexibility and inherent uncertainty quantification. However, when the functional data is observed over a large grid (say, of length p), Gaussian process clustering quickly renders itself infeasible, incurring O(p…