2 citations · 2 across the 3 of their papers we have counts for
4 papers
Slice Sampling for General Completely Random Measures
Peiyuan Zhu, Alexandre Bouchard-Côté, Trevor Campbell
Completely random measures provide a principled approach to creating flexible unsupervised models, where the number of latent features is infinite and the number of features that i…
Particle-Gibbs Sampling For Bayesian Feature Allocation Models
Alexandre Bouchard-Côté, Andrew Roth
Bayesian feature allocation models are a popular tool for modelling data with a combinatorial latent structure. Exact inference in these models is generally intractable and so prac…
Sequential Decision Model for Inference and Prediction on Non-Uniform Hypergraphs with Application to Knot Matching from Computational Forestry
Seong-Hwan Jun, Samuel W. K. Wong, James V. Zidek +1
In this paper, we consider the knot matching problem arising in computational forestry. The knot matching problem is an important problem that needs to be solved to advance the sta…
Correcting for Cryptic Relatedness in Genome-Wide Association Studies
Bonnie Kirkpatrick, Alexandre Bouchard-Côté
While the individuals chosen for a genome-wide association study (GWAS) may not be closely related to each other, there can be distant (cryptic) relationships that confound the evi…