216 citations · 510 across the 17 of their papers we have counts for
4 papers · 1 filter
Dirichlet Posterior Sampling with Truncated Multinomial Likelihoods
Matthew James Johnson, Alan S. Willsky
We consider the problem of drawing samples from posterior distributions formed under a Dirichlet prior and a truncated multinomial likelihood, by which we mean a Multinomial likeli…
A Simple Explanation of A Spectral Algorithm for Learning Hidden Markov Models
Matthew James Johnson
A simple linear algebraic explanation of the algorithm in "A Spectral Algorithm for Learning Hidden Markov Models" (COLT 2009). Most of the content is in Figure 2; the text just ma…
The Hierarchical Dirichlet Process Hidden Semi-Markov Model
Matthew J. Johnson, Alan Willsky
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the traditional HMM. However, in many se…
Bayesian Nonparametric Hidden Semi-Markov Models
Matthew J. Johnson, Alan S. Willsky
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for l…