| On machine-learned classification of variable stars with sparse and noisy time-series data JW Richards, DL Starr, NR Butler, JS Bloom, JM Brewer, A Crellin-Quick, ... The Astrophysical Journal 733 (1), 10, 2011 | 371 | 2011 |
| A nonparametric Bayesian methodology for regression discontinuity designs Z Branson, M Rischard, L Bornn, LW Miratrix Journal of Statistical Planning and Inference 202, 14-30, 2019 | 42 | 2019 |
| Gaussianprocesses. jl: A nonparametric bayes package for the julia language J Fairbrother, C Nemeth, M Rischard, J Brea, T Pinder arXiv preprint arXiv:1812.09064, 2018 | 37 | 2018 |
| Towards a real‐time transient classification engine JS Bloom, DL Starr, NR Butler, P Nugent, M Rischard, D Eads, ... Astronomische Nachrichten: Astronomical Notes 329 (3), 284-287, 2008 | 28 | 2008 |
| Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation M Rischard, PE Jacob, N Pillai arXiv preprint arXiv:1810.01382, 2018 | 23 | 2018 |
| Do school districts affect NYC house prices? Identifying border differences using a Bayesian nonparametric approach to geographic regression discontinuity designs M Rischard, Z Branson, L Miratrix, L Bornn Journal of the American Statistical Association 116 (534), 619-631, 2021 | 14 | 2021 |
| Bias correction in daily maximum and minimum temperature measurements through Gaussian process modeling M Rischard, N Pillai, KA McKinnon arXiv preprint arXiv:1805.10214, 2018 | 8 | 2018 |
| Aggregated Gaussian processes with multiresolution Earth observation covariates H Zhu, A Howes, O van Eer, M Rischard, Y Li, D Sejdinovic, S Flaxman arXiv preprint arXiv:2105.01460, 2021 | 4 | 2021 |
| Predicting landsat reflectance with deep generative fusion S Bouabid, M Chernetskiy, M Rischard, J Gamper arXiv preprint arXiv:2011.04762, 2020 | 3 | 2020 |
| A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices? M Rischard, Z Branson, L Miratrix, L Bornn arXiv preprint arXiv:1807.04516, 2018 | 3 | 2018 |
| The Berkeley Transient Classification Pipeline: Deriving Real-time Knowledge from Time-domain Surveys DL Starr, JS Bloom, JM Brewer, NR Butler, D Poznanski, M Rischard, ... Astronomical Data Analysis Software and Systems XVIII 411, 493, 2009 | 3 | 2009 |
| Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda R Huppertz, C Nakalembe, H Kerner, R Lachyan, M Rischard arXiv preprint arXiv:2107.14372, 2021 | 2 | 2021 |
| A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Estimating the Cost of a School District L Miratrix, M Rischard, Z Branson, L Bornn | | 2019 |
| Considering uncertainty in spatial models: causal inference, missing data imputations, and model comparison M Rischard Harvard University, 2019 | | 2019 |
| Rapid and Automated Classification of Events from the Palomar Transient Factory JS Bloom, DL Starr, NR Butler, D Poznanski, M Rischard, R Kennedy, ... American Astronomical Society Meeting Abstracts# 213 213, 469.07, 2009 | | 2009 |
| Towards a Real-time Transient Classification Engine PE Nugent, J Bloom, D Starr, N Butler, P Nugent, M Rischard, D Eads, ... Astronomische Nachrichten 329 (LBNL-633E), 2008 | | 2008 |
| Mini-Project 1: Bag Models for Crop Yield Prediction H Zhu, M Rischard, O van Eer, S Flaxman, D Sejdinovic | | |
