Monte Carlo simulation on the Stiefel manifold via polar expansion M Jauch, PD Hoff, DB Dunson Journal of Computational and Graphical Statistics 30 (3), 622-631, 2020 | 38 | 2020 |
Random orthogonal matrices and the Cayley transform M Jauch, PD Hoff, DB Dunson Bernoulli 26 (2), 1560-1586, 2020 | 26 | 2020 |
Data-adaptive insight and action platform for higher education D Kil, J Harmse, M Jauch, K Hunter, D Patschke, SD Hilderbrand, ... US Patent App. 14/592,821, 2015 | 22 | 2015 |
Bayesian optimization with shape constraints M Jauch, V Peña NeurIPS Workshop on Bayesian Optimization, 2016 | 14 | 2016 |
Functional stochastic volatility in financial option surfaces PA Jang, M Jauch, DS Matteson Data Science in Science 1 (1), 6-19, 2022 | 3 | 2022 |
Simulating freely-diffusing single-molecule FRET data with consideration of protein conformational dynamics J Losey, M Jauch, A Cortes-Cubero, H Wu, R Rivera, DS Matteson, ... Biophysical Journal 121 (3), 445a, 2022 | 1 | 2022 |
Mixture representations and Bayesian nonparametric inference for likelihood ratio ordered distributions M Jauch, AF Barrientos, V Peña, DS Matteson arXiv preprint arXiv:2110.04852, 2021 | 1* | 2021 |
Bayesian changepoint detection via logistic regression and the topological analysis of image series AM Thomas, M Jauch, DS Matteson arXiv preprint arXiv:2401.02917, 2024 | | 2024 |
Two new mixture representations for the generalized inverse Gaussian distribution and their applications V Peña, M Jauch arXiv preprint arXiv:2401.00749, 2024 | | 2024 |
Random Orthogonal Matrices with Applications in Statistics M Jauch Duke University, 2019 | | 2019 |
A Bayesian oblique factor model with extension to tensor data M Jauch, P Giordani, DB Dunson Proceedings of the Conference of the Italian Statistical Society, 2017 | | 2017 |
Energy-minimizing unit vector fields Y Digilov, W Eggert, R Hardt, J Hart, M Jauch, R Lewis, C Loftis, A Mehta, ... Involve, a Journal of Mathematics 3 (4), 435-450, 2011 | | 2011 |