8 citations · 9 across the 3 of their papers we have counts for
3 papers
Revisiting the Volume Hypothesis
Ari Pakman, Lior Kreimer, Yakir Berchenko
Modern deep neural networks often contain far more parameters than needed to fit their training data, yet they achieve impressive generalization. A common explanation for this succ…
Modeling and Analysing Respondent Driven Sampling as a Counting Process
Yakir Berchenko, Jonathan Rosenblatt, Simon D. W. Frost
Respondent-driven sampling (RDS) is an approach to sampling design and analysis which utilizes the networks of social relationships that connect members of the target population, u…
Analysis of a capture-recapture estimator for the size of populations with heterogenous catchability, and its evaluation on RDS data from rural Uganda
Yakir Berchenko, Richard G. White, Cyprian Wejnert +1
In this paper, we consider capture-recapture experiments with heterogenous catchability. In the setting we consider, the widespread Huggins-Alho estimator is not very suitable and…