Jonathan D. Rosenblatt
Jonathan D. Rosenblatt
Dept. of Industrial Engineering, BGU
Verified email at - Homepage
Cited by
Cited by
Imbalanced neural responsivity to risk and reward indicates stress vulnerability in humans
R Admon, G Lubin, JD Rosenblatt, O Stern, I Kahn, M Assaf, T Hendler
Cerebral cortex 23 (1), 28-35, 2013
On the optimality of averaging in distributed statistical learning
JD Rosenblatt, B Nadler
Information and Inference: A Journal of the IMA 5 (4), 379-404, 2016
Multivariate revisit to “sex beyond the genitalia”
JD Rosenblatt
Proceedings of the National Academy of Sciences 113 (14), E1966-E1967, 2016
What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level
R Gilron, J Rosenblatt, O Koyejo, RA Poldrack, R Mukamel
NeuroImage 146, 113-120, 2017
Selective correlations; not voodoo
JD Rosenblatt, Y Benjamini
Neuroimage 103, 401-410, 2014
Revisiting multi-subject random effects in fMRI: Advocating prevalence estimation
JD Rosenblatt, M Vink, Y Benjamini
NeuroImage 84, 113-121, 2014
Better-than-chance classification for signal detection
JD Rosenblatt, Y Benjamini, R Gilron, R Mukamel, JJ Goeman
Biostatistics, 2016
Preconscious prediction of a driver's decision using intracranial recordings
O Perez, R Mukamel, A Tankus, JD Rosenblatt, Y Yeshurun, I Fried
Journal of cognitive neuroscience 27 (8), 1492-1502, 2015
Misfolded SOD1 accumulation and mitochondrial association contribute to the selective vulnerability of motor neurons in familial ALS: correlation to human disease
S Abu-Hamad, J Kahn, MF Leyton-Jaimes, J Rosenblatt, A Israelson
ACS chemical neuroscience 8 (10), 2225-2234, 2017
Memory reactivation improves visual perception
R Amar-Halpert, R Laor-Maayany, S Nemni, JD Rosenblatt, N Censor
Nature neuroscience 20 (10), 1325, 2017
Modeling and analyzing respondent-driven sampling as a counting process.
FSD Berchenko Y., Rosenblatt J.D.
Biometrics, 2017
TOSS - Multiple hypothesis testing in an open software system
G Blanchard, T Dickhaus, N Hack, F Konietschke, K Rohmeyer, ...
Proceedings of the First Workshop on Applications of Pattern Analysis, 12-19, 2010
All-resolutions inference for brain imaging
JD Rosenblatt, L Finos, WD Weeda, A Solari, JJ Goeman
Neuroimage 181, 786-796, 2018
The harmonic mean p-value: Strong versus weak control, and the assumption of independence
JJ Goeman, JD Rosenblatt, TE Nichols
Proceedings of the National Academy of Sciences, 201909339, 2019
Multivariate anomaly detection for ensuring data quality of dendrometer sensor networks
E Vilenski, P Bak, JD Rosenblatt
Computers and Electronics in Agriculture 162, 412-421, 2019
Gaussian Markov random fields versus linear mixed models for satellite-based PM2. 5 assessment: evidence from the northeastern USA
R Sarafian, I Kloog, AC Just, JD Rosenblatt
Atmospheric Environment 205, 30-35, 2019
mutoss: Unified multiple testing procedures
MTC Team, G Blanchard, T Dickhaus, N Hack, F Konietschke, ...
R package version 0.1 8, 2014
RRHO: Test overlap using the Rank-Rank Hypergeometric test
JD Rosenblatt, JL Stein
R package version 1 (0), 2014
On mixture alternatives and Wilcoxon’s signed-rank test
JD Rosenblatt, Y Benjamini
The American Statistician 72 (4), 344-347, 2018
A Practitioner's Guide to Multiple Testing Error Rates
J Rosenblatt
arXiv preprint arXiv:1304.4920, 2013
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