I am also College Research Associate at Magdalene College.
Statistical Laboratory, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WB.
Room D0.20 (Pavillion D)
firstname.lastname@example.org (replace the first 8 characters by my surname)
(+44) 01223 339792
|2007-2010||B.Sc. in mathematics and economics, Hebrew University of Jerusalem, summa cum laude|
|2010-2012||M.Sc. in applied mathematics, orientated in Statistics and Financial Mathematics, École polytechnique fédérale de Lausanne|
|2012-2017||PhD, École polytechnique fédérale de Lausanne, advised by Professor Victor M. Panaretos|
|2017||Postdoctoral researcher, École polytechnique fédérale de Lausanne|
|2018-2019||SNSF Early Postdoc.Mobility Fellow, Georg-August-Universität Göttingen, mentored by Professor Axel Munk|
Panaretos, V. M. & Zemel, Y. (2020)
Zemel, Y. & Panaretos, V. M. (2019)
Fréchet Means and Procrustes Analysis in Wasserstein Space.
Masarotto, V., Panaretos, V. M. & Zemel, Y. (2019)
Procrustes metrics on covariance operators and optimal transportation of Gaussian processes.
Invited paper, Special Issue on Manifold Statistics, Sankhya A 81(1):172-213
Panaretos, V. M. & Zemel, Y. (2019)
Statistical Aspects of Wasserstein Distances.
Annual Review of Statistics and its Applications 6:405-431
Sommerfeld, M., Schrieber, J., Zemel, Y. & Munk, A. (2019)
Optimal Transport: Fast probabilistic Approximation with Exact Solvers.
Journal of Machine Learning Research 20(105):1-23
Henshaw, J. M. & Zemel, Y. (2017)
A unified measure of linear and nonlinear selection on quantitative traits.
Methods in Ecology and Evolution 8(5):604-614
This paper won the Robert May Prize, awarded to the first author by convention.
R code available on GitHub
Panaretos, V. M. & Zemel, Y. (2016)
Amplitude and phase variation of point processes.
The Annals of Statistics 44(2):771-812
Klatt, M., Munk, A., B. & Zemel, Y. (2020+)
Limit laws for empirical optimal solutions in stochastic linear programs.
Galasso, B., Zemel, Y. & de Carvalho, M. (2018+)
Bayesian semiparametric modelling of phase-varying point processes.
Zemel, Y. (2020)
Discussion on "Functional models for time-varying random objects" by P. Dubey & H.-G. Müller.
Journal of the Royal Statistical Society, Series B 82(2):316
Lent 2020: Topics in Statistical Theory
London School of Economics, December 6
Meetings in Mathematical Statistics, Luminy, December 16-20
Tel Aviv University, December 31
Statistics for Topological and Discrete Data, Lausanne (POSTPONED)
Statistical and Computational Optimal Transport Summer School, Lausanne (POSTPONED)
International Symposium on Nonparametric Statistics, Paphos (POSPONED TO JUNE 2021)
Geometrical Statistics and Functional Data, Lausanne (POSTPONED)
5th International Workshop on Functional and Operatorial Statistics, Brno (POSPONED TO JUNE 2021)