Yoav Zemel
I am a Research Associate at the Statistical Laboratory, mentored by Professor Richard Samworth.
Statistical Laboratory, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WB.
Room D0.20 (Pavillion D)
lastname@statslab.cam.ac.uk (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 |
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Panaretos, V. M. & Zemel, Y. (2019+) |
Panaretos, V. M. & Zemel, Y. (2016)
Amplitude and phase variation of point processes.
The Annals of Statistics 44(2):771-812
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
Zemel, Y. & Panaretos, V. M. (2019)
Fréchet Means and Procrustes Analysis in Wasserstein Space.
Bernoulli 25(2):932-976
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
Galasso, B., Zemel, Y. & de Carvalho, M. (2018+)
Bayesian semiparametric modelling of phase-varying point processes.
Submitted
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, to appear
Lent 2020: Topics in Statistical Theory
Topology for Learning and Data Analysis, Toulouse, September 30 - October 4. Slides
Royal Statistical Society discussion meeting, London, October 16. Slides
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, May 25-29
Statistical and Computational Optimal Transport Summer School, Lausanne, June 9-11
International Symposium on Nonparametric Statistics, Paphos, June 15-29
Geometrical Statistics and Functional Data, Lausanne, June 22-26
5th International Workshop on Functional and Operatorial Statistics, Brno, June 24-26