6 citations · 10 across the 5 of their papers we have counts for
5 papers
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration
Nanwei Wang, Laurent Briollais, Helene Massam
Recent advances in biological research have seen the emergence of high-throughput technologies with numerous applications that allow the study of biological mechanisms at an unprec…
Penalized composite likelihood for colored graphical Gaussian models
Qiong Li, Xiaoying Sun, Nanwei Wang
This paper proposes a penalized composite likelihood method for model selection in colored graphical Gaussian models. The method provides a sparse and symmetry-constrained estimato…
Approximating faces of marginal polytopes in discrete hierarchical models
Nanwei Wang, Johannes Rauh, Hélène Massam
The existence of the maximum likelihood estimate in hierarchical loglinear models is crucial to the reliability of inference for this model. Determining whether the estimate exists…
A local approach to estimation in discrete loglinear models
Helene Massam, Nanwei Wang
We consider two connected aspects of maximum likelihood estimation of the parameter for high-dimensional discrete graphical models: the existence of the maximum likelihood estimate…
Distributed parameter estimation of discrete hierarchical models via marginal likelihoods
Helene Massam, Nanwei Wang
We consider discrete graphical models Markov with respect to a graph and propose two distributed marginal methods to estimate the maximum likelihood estimate of the canonical p…