56 citations · 116 across the 7 of their papers we have counts for
7 papers
Optimal-Design Domain-Adaptation for Exposure Prediction in Two-Stage Epidemiological Studies
Ron Sarafian, Itai Kloog, Jonathan D. Rosenblatt
In the first stage of a two-stage study, the researcher uses a statistical model to impute the unobserved exposures. In the second stage, imputed exposures serve as covariates in e…
Better-Than-Chance Classification for Signal Detection
Jonathan D. Rosenblatt, Yuval Benjamini, Roee Gilron +2
The estimated accuracy of a classifier is a random quantity with variability. A common practice in supervised machine learning, is thus to test if the estimated accuracy is signifi…
What's in a pattern? Examining the Type of Signal Multivariate Analysis Uncovers At the Group Level
Roee Gilron, Jonathan Rosenblatt, Oluwasanmi Koyejo +2
Multivoxel pattern analysis (MVPA) has gained enormous popularity in the neuroimaging community over the past few years. At the group level, most MVPA studies adopt an "information…
On the Optimality of Averaging in Distributed Statistical Learning
Jonathan Rosenblatt, Boaz Nadler
A common approach to statistical learning with big-data is to randomly split it among machines and learn the parameter of interest by averaging the individual estimates. In…
Another Argument in Favour of Wilcoxon's Signed Rank Test
Jonathan Rosenblatt, Yoav Benjamini
The Wilcoxon Signed Rank test is typically called upon when testing whether a symmetric distribution has a specified centre and the Gaussianity is in question. As with all insuranc…
A Practitioner's Guide to Multiple Testing Error Rates
Jonathan Rosenblatt
It is quite common in modern research, for a researcher to test many hypotheses. The statistical (frequentist) hypothesis testing framework, does not scale with the number of hypot…
Revisiting Multi-Subject Random Effects in fMRI: Advocating Prevalence Estimation
Jonathan D. Rosenblatt, Matthijs Vink, Yoav Benjamini
Random Effects analysis has been introduced into fMRI research in order to generalize findings from the study group to the whole population. Generalizing findings is obviously hard…