Published February 18, 2016 | Version v1
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HaMMLET - Supplemental Material

  • 1. Rutgers University

Description

HaMMLET is a novel type of Bayesian Hidden Markov Model, using dynamically adaptive wavelet compression for improved speedup and convergence behaviour of Forward-Backward Gibbs sampling.

This data set contains supplemental material for HaMMLET's initial publication.

Files

S1_Figures_Breakpoint_Detection_and_Merging.zip

Files (27.1 GB)

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Additional details