207 citations · 303 across the 20 of their papers we have counts for
3 papers · 1 filter
The Hamming Ball Sampler
Michalis K. Titsias, Christopher Yau
We introduce the Hamming Ball Sampler, a novel Markov Chain Monte Carlo algorithm, for efficient inference in statistical models involving high-dimensional discrete state spaces. T…
Statistical Inference in Hidden Markov Models using -segment Constraints
Michalis K. Titsias, Christopher Yau, Christopher C. Holmes
Hidden Markov models (HMMs) are one of the most widely used statistical methods for analyzing sequence data. However, the reporting of output from HMMs has largely been restricted…
A decision-theoretic approach for segmental classification
Christopher Yau, Christopher C. Holmes
This paper is concerned with statistical methods for the segmental classification of linear sequence data where the task is to segment and classify the data according to an underly…