| Real-time genomic characterization of advanced pancreatic cancer to enable precision medicine AJ Aguirre, JA Nowak, ND Camarda, RA Moffitt, AA Ghazani, ... Cancer discovery 8 (9), 1096-1111, 2018 | 329 | 2018 |
| Mixture models with a prior on the number of components JW Miller, MT Harrison Journal of the American Statistical Association 113 (521), 340-356, 2018 | 287 | 2018 |
| Robust Bayesian inference via coarsening JW Miller, DB Dunson Journal of the American Statistical Association 114 (527), 1113-1125, 2019 | 265 | 2019 |
| A simple example of Dirichlet process mixture inconsistency for the number of components JW Miller, MT Harrison Advances in Neural Information Processing Systems 26, 199-206, 2013 | 188 | 2013 |
| Inconsistency of Pitman-Yor process mixtures for the number of components JW Miller, MT Harrison The Journal of Machine Learning Research 15 (1), 3333-3370, 2014 | 134 | 2014 |
| Asymptotic normality, concentration, and coverage of generalized posteriors JW Miller Journal of Machine Learning Research 22 (168), 1-53, 2021 | 74 | 2021 |
| Age-dependent regulation of SARS-CoV-2 cell entry genes and cell death programs correlates with COVID-19 severity Z Inde, BA Croker, C Yapp, GN Joshi, J Spetz, C Fraser, X Qin, L Xu, ... Science Advances 7 (34), eabf8609, 2021 | 64 | 2021 |
| Exact sampling and counting for fixed-margin matrices JW Miller, MT Harrison | 57 | 2013 |
| Flexible models for microclustering with application to entity resolution B Betancourt, G Zanella, J Miller, H Wallach, A Zaidi, RC Steorts Advances in Neural Information Processing Systems 29, 1417-1425, 2016 | 53 | 2016 |
| Genomic and transcriptomic correlates of immunotherapy response within the tumor microenvironment of leptomeningeal metastases SM Prakadan, CA Alvarez-Breckenridge, SC Markson, AE Kim, RH Klein, ... Nature communications 12 (1), 5955, 2021 | 39 | 2021 |
| Robust inference and model criticism using bagged posteriors JH Huggins, JW Miller arXiv preprint arXiv:1912.07104, 2019 | 35* | 2019 |
| Microclustering: When the cluster sizes grow sublinearly with the size of the data set J Miller, B Betancourt, A Zaidi, H Wallach, RC Steorts arXiv preprint arXiv:1512.00792, 2015 | 29 | 2015 |
| A detailed treatment of Doob's theorem JW Miller arXiv preprint arXiv:1801.03122, 2018 | 26 | 2018 |
| Reproducible model selection using bagged posteriors JH Huggins, JW Miller Bayesian Analysis, 2021 | 24* | 2021 |
| Reduced criteria for degree sequences JW Miller Discrete Mathematics 313 (4), 550-562, 2013 | 24 | 2013 |
| An elementary derivation of the Chinese restaurant process from Sethuraman’s stick-breaking process JW Miller Statistics & Probability Letters 146, 112-117, 2019 | 19 | 2019 |
| Importance sampling for weighted binary random matrices with specified margins MT Harrison, JW Miller arXiv preprint arXiv:1301.3928, 2013 | 16 | 2013 |
| Fast and accurate approximation of the full conditional for gamma shape parameters JW Miller Journal of Computational and Graphical Statistics 28 (2), 476-480, 2019 | 15 | 2019 |
| Trends, mechanisms, and racial/ethnic differences of tuberculosis incidence in the US-born population aged 50 years or older in the United States S Kim, T Cohen, CR Horsburgh Jr, JW Miller, AN Hill, SM Marks, R Li, ... Clinical Infectious Diseases 74 (9), 1594-1603, 2022 | 14 | 2022 |
| Establishing a natural history of X-linked dystonia parkinsonism P Acuna, ML Supnet-Wells, NA Spencer, JK de Guzman, M Russo, A Hunt, ... Brain Communications 5 (3), fcad106, 2023 | 10 | 2023 |
Matthew T HarrisonAssociate Professor of Applied Mathematics, Brown UniversityVerified email at brown.edu
