Jonathan D. Rosenblatt

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Roy MukamelTel-Aviv UniversityVerified email at tau.ac.il
Jelle GoemanProfessor of Biostatistics, Leiden University Medical Center, COSTNET CA15109Verified email at lumc.nl
Itai KloogBen Gurion UniversityVerified email at bgu.ac.il
Yoav BenjaminiTel Aviv UniversityVerified email at tau.ac.il
Roee GilronUniversity of California San FranciscoVerified email at ucsf.edu
Allan C. JustAssistant Professor in Preventive Medicine, Icahn School of Medicine at Mount SinaiVerified email at mssm.edu
Roee AdmonSenior Lecturer, Department of Psychology, University of HaifaVerified email at psy.haifa.ac.il
Kornelius RohmeyerC.v.O. University OldenburgVerified email at biostat.uni-hannover.de
Ian HoughUniversité Grenoble AlpesVerified email at univ-grenoble-alpes.fr
Boaz NadlerWeizmann Institute of Science, IsraelVerified email at weizmann.ac.il
Ron SarafianWeizmann InstituteVerified email at weizmann.ac.il
Victor Novack MD PhD, Professor of M...Head, Research Authority, Soroka University Medical Center and Ben-Gurion University of the NegevVerified email at clalit.org.il
Evyatar ErellBen-Gurion UniversityVerified email at bgu.ac.il
Bin ZhouFaculty of Medicine @ University of AugsburgVerified email at post.bgu.ac.il
Yakir BerchenkoBen-Gurion University of the Negev, Department of Industrial Engineering and ManagementVerified email at bgu.ac.il
Simon DW FrostMicrosoft ResearchVerified email at microsoft.com
Livio FinosAssociate professor of Psychometrics and Statistics, University of PadovaVerified email at unipd.it
Wouter D. Weeda, PhD.Assistant Professor, Leiden UniversityVerified email at fsw.leidenuniv.nl
Aldo SolariProfessor of Statistics, University of Milano-BicoccaVerified email at unimib.it
Russ PoldrackProfessor of Psychology, Stanford UniversityVerified email at stanford.edu

Jonathan D. Rosenblatt

Pagaya

Verified email at pagaya.com - Homepage

statistics machine learning brain-imaging


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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	134	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	89	2016
Multivariate revisit to “sex beyond the genitalia” JD Rosenblatt Proceedings of the National Academy of Sciences 113 (14), E1966-E1967, 2016	50	2016
All-resolutions inference for brain imaging JD Rosenblatt, L Finos, WD Weeda, A Solari, JJ Goeman Neuroimage 181, 786-796, 2018	30	2018
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	26	2017
Better-than-chance classification for signal detection JD Rosenblatt, Y Benjamini, R Gilron, R Mukamel, JJ Goeman Biostatistics 22 (2), 365-380, 2021	25	2021
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	25	2017
Revisiting multi-subject random effects in fMRI: Advocating prevalence estimation JD Rosenblatt, M Vink, Y Benjamini NeuroImage 84, 113-121, 2014	25	2014
Memory reactivation improves visual perception R Amar-Halpert, R Laor-Maayany, S Nemni, JD Rosenblatt, N Censor Nature neuroscience 20 (10), 1325-1328, 2017	22	2017
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	20	2015
Selective correlations; not voodoo JD Rosenblatt, Y Benjamini Neuroimage 103, 401-410, 2014	19	2014
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	16	2019
Modeling and analyzing respondent-driven sampling as a counting process. FSD Berchenko Y., Rosenblatt J.D. Biometrics, 2017	16*	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	16	2010
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	15	2019
Estimating near‐surface air temperature across Israel using a machine learning based hybrid approach B Zhou, E Erell, I Hough, J Rosenblatt, AC Just, V Novack, I Kloog International Journal of Climatology 40 (14), 6106-6121, 2020	12	2020
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	9	2019
RRHO: Test overlap using the Rank-Rank Hypergeometric test JD Rosenblatt, JL Stein R package version 1 (0), 2014	9	2014
Estimation of hourly near surface air temperature across Israel using an ensemble model B Zhou, E Erell, I Hough, A Shtein, AC Just, V Novack, J Rosenblatt, ... Remote Sensing 12 (11), 1741, 2020	8	2020
On mixture alternatives and Wilcoxon’s signed-rank test JD Rosenblatt, Y Benjamini The American Statistician 72 (4), 344-347, 2018	8*	2018

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