Former Members
Ilan Livne, Ph.D. (2023) Co-advised by David Azriel
Topic:
A Zero-Estimator Approch for Estimating the Signal Level
in a High-Dimensional Regression Setting
Yael Travis-Lumer, Ph.D. (2023)
Tiantian Liu, Ph.D. (2023)
Topic:
Kernel Machines with Missing Data
Amit Berkowitz, M.Sc.(2023)
Topic:
COVID-19: Estimate an Optimal Timing for Booster Vaccination
based on Immunological History
Oron Madmon, M.Sc. (2022)
Topic:
Infectious Disease: Household Modeling with Missing Data
Valentin Vancak, Ph.D. (2021)
Topic:
Systematic Analysis of the Number Needed to Treat
Yotam Leibovici, M.Sc. (2021)
Topic:
Improving Efficiency of Tests for Composite Null Hypotheses
Jonathan Yefe-Nof, Ph.D., (2020) Co-advised with Ya’acov Ritov
Topic:
Challenges in statistical inference for complicated datasets structures
Yael Travis-Lumer, M.Sc. (2016)
Topic:
Support Vector Machines for Current Status Data
Valentin Vancak, M.Sc. (2016)
Topic:
Continuous Statistical Models: With or Without Truncation Parameters?
Afraa Araidy, M.Sc. (2014)