| Approximating faces of marginal polytopes in discrete hierarchical models N Wang, J Rauh, H Massam The Annals of Statistics 47 (3), 1203-1233, 2019 | 19 | 2019 |
| Penalized composite likelihood for colored graphical gaussian models Q Li, X Sun, N Wang, X Gao Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (4 …, 2021 | 8 | 2021 |
| Local conditional and marginal approach to parameter estimation in discrete graphical models H Massam, N Wang Journal of Multivariate Analysis 164, 1-21, 2018 | 5 | 2018 |
| Distributed parameter estimation of discrete hierarchical models via marginal likelihoods H Massam, N Wang arXiv preprint arXiv:1310.5666, 2013 | 3 | 2013 |
| A local approach to estimation in discrete loglinear models H Massam, N Wang arXiv preprint arXiv:1504.05434, 2015 | 2 | 2015 |
| Confidence intervals for discrete log-linear models when MLE does not exist N Wang, H Massam, Q Li Statistics & Probability Letters 187, 109532, 2022 | 1 | 2022 |
| The scalable birth-death mcmc algorithm for mixed graphical model learning with application to genomic data integration N Wang, L Briollais, H Massam arXiv preprint arXiv:2005.04139, 2020 | 1 | 2020 |
| THE SCALABLE BIRTH-DEATH MCMC ALGORITHM FOR MIXED GRAPHICAL MODEL LEARNING WITH APPLICATION TO GENOMIC DATA INTEGRATION N Wang, H Massam, X Gao, L Briollais The annals of applied statistics 17 (3), 1958, 2023 | | 2023 |
| Bayes Factor with Conjugate Prior for Region-Based Rare Variant Analysis J Xu, N Wang, L Briollais GENETIC EPIDEMIOLOGY 46 (7), 546-547, 2022 | | 2022 |
| Maximum Likelihood Estimate in Discrete Hierarchical Log-Linear Models N Wang | | 2017 |
Helene MassamProfessor of Mathematics and Statistics, York UniversityVerified email at yorku.ca
