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Maxime Rischard
Maxime Rischard
Harvard Statistics
Verified email at g.harvard.edu
Title
Cited by
Cited by
Year
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
3582011
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
412019
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
272008
Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation
M Rischard, PE Jacob, N Pillai
arXiv preprint arXiv:1810.01382, 2018
232018
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
182018
Gaussianprocesses. jl: A nonparametric bayes package for the julia language
J Fairbrother, C Nemeth, M Rischard, J Brea, T Pinder
Journal of Statistical Software 102, 1-36, 2022
152022
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
142021
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
82018
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
42021
Predicting landsat reflectance with deep generative fusion
S Bouabid, M Chernetskiy, M Rischard, J Gamper
arXiv preprint arXiv:2011.04762, 2020
32020
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
32018
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
32009
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
22021
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
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