119 citations · 603 across the 42 of their papers we have counts for
16 papers · 1 filter
Discussion of Multiscale Fisher's Independence Test for Multivariate Dependence
Duyeol Lee, Helal El-Zaatari, Michael R. Kosorok +2
The multiscale Fisher's independence test (MULTIFIT hereafter) proposed by Gorsky & Ma (2022) is a novel method to test independence between two random vectors. By its design, this…
The Binary Expansion Randomized Ensemble Test (BERET)
Duyeol Lee, Kai Zhang, Michael R. Kosorok
Recently, the binary expansion testing framework was introduced to test the independence of two continuous random variables by utilizing symmetry statistics that are complete suffi…
Efficient estimation of accelerated lifetime models under length-biased sampling
Pourab Roy, Jason P. Fine, Michael R. Kosorok
In prevalent cohort studies where subjects are recruited at a cross-section, the time to an event may be subject to length-biased sampling, with the observed data being either the…
Consistency of survival tree and forest models: splitting bias and correction
Yifan Cui, Ruoqing Zhu, Mai Zhou +1
Random survival forest and survival trees are popular models in statistics and machine learning. However, there is a lack of general understanding regarding consistency, splitting…
Asymptotics for change-point models under varying degrees of mis-specification
Rui Song, Moulinath Banerjee, Michael R. Kosorok
Change-point models are widely used by statisticians to model drastic changes in the pattern of observed data. Least squares/maximum likelihood based estimation of change-points le…
Q-learning with censored data
Yair Goldberg, Michael R. Kosorok
We develop methodology for a multistage decision problem with flexible number of stages in which the rewards are survival times that are subject to censoring. We present a novel Q-…