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Chad Schafer
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Synaptic, transcriptional and chromatin genes disrupted in autism
S De Rubeis, X He, AP Goldberg, CS Poultney, K Samocha, ...
Nature 515 (7526), 209-215, 2014
26602014
Patterns and rates of exonic de novo mutations in autism spectrum disorders
BM Neale, Y Kou, L Liu, A Ma’Ayan, KE Samocha, A Sabo, CF Lin, ...
Nature 485 (7397), 242-245, 2012
20002012
Likelihood-free cosmological inference with type Ia supernovae: approximate Bayesian computation for a complete treatment of uncertainty
A Weyant, C Schafer, WM Wood-Vasey
The Astrophysical Journal 764 (2), 116, 2013
1262013
Computational design and performance of the Fast Ocean Atmosphere Model, version one
R Jacob, C Schafer, I Foster, M Tobis, J Anderson
Computational Science—ICCS 2001: International Conference San Francisco, CA …, 2001
1032001
Semi-supervised learning for photometric supernova classification
JW Richards, D Homrighausen, PE Freeman, CM Schafer, D Poznanski
Monthly Notices of the Royal Astronomical Society 419 (2), 1121-1135, 2012
762012
Exploiting low-dimensional structure in astronomical spectra
JW Richards, PE Freeman, AB Lee, CM Schafer
The Astrophysical Journal 691 (1), 32, 2009
652009
Photometric redshift estimation using spectral connectivity analysis
PE Freeman, JA Newman, AB Lee, JW Richards, CM Schafer
Monthly Notices of the Royal Astronomical Society 398 (4), 2012-2021, 2009
602009
Exploring coupled atmosphere-ocean models using Vis5D
WL Hibbard, J Anderson, I Foster, BE Paul, R Jacob, C Schafer, MK Tyree
The International Journal of Supercomputer Applications and High Performance …, 1996
511996
Discovery with data: Leveraging statistics with computer science to transform science and society
C Rudin, D Dunson, R Irizarry, H Ji, E Laber, J Leek, T McCormick, ...
American Statistical Association White Paper, 2014
442014
How to optimally constrain galaxy assembly bias: supplement projected correlation functions with count-in-cells statistics
K Wang, YY Mao, AR Zentner, FC van den Bosch, JU Lange, CM Schafer, ...
Monthly Notices of the Royal Astronomical Society 488 (3), 3541-3567, 2019
382019
High-dimensional density ratio estimation with extensions to approximate likelihood computation
R Izbicki, A Lee, C Schafer
Artificial intelligence and statistics, 420-429, 2014
382014
Accurate parameter estimation for star formation history in galaxies using SDSS spectra
JW Richards, PE Freeman, AB Lee, CM Schafer
Monthly Notices of the Royal Astronomical Society 399 (2), 1044-1057, 2009
352009
Likelihood-free inference in cosmology: Potential for the estimation of luminosity functions
CM Schafer, PE Freeman
Statistical Challenges in Modern Astronomy V, 3-19, 2012
292012
Constructing confidence regions of optimal expected size
CM Schafer, PB Stark
Journal of the American Statistical Association 104 (487), 1080-1089, 2009
292009
A statistical method for estimating luminosity functions using truncated data
CM Schafer
The Astrophysical Journal 661 (2), 703, 2007
262007
Maximizing science in the era of LSST: a community-based study of needed us capabilities
J Najita, B Willman, DP Finkbeiner, RJ Foley, S Hawley, JA Newman, ...
arXiv preprint arXiv:1610.01661, 2016
252016
High-dimensional density estimation via SCA: An example in the modelling of hurricane tracks
SM Buchman, AB Lee, CM Schafer
Statistical Methodology 8 (1), 18-30, 2011
242011
FOBOS: a next-generation spectroscopic facility
K Bundy, K Westfall, N MacDonald, R Kupke, M Savage, C Poppett, ...
Bulletin of the American Astronomical Society 51 (7), 198, 2019
182019
Whole exome sequencing reveals minimal differences between cell line and whole blood derived DNA
CM Schafer, NG Campbell, G Cai, F Yu, V Makarov, S Yoon, MJ Daly, ...
Genomics 102 (4), 270-277, 2013
152013
Fobos: A next-generation spectroscopic facility at the wm keck observatory
K Bundy, K Westfall, N MacDonald, R Kupke, M Savage, C Poppett, ...
arXiv preprint arXiv:1907.07195, 2019
132019
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