Yoav Zemel

I am a Research Associate at the Statistical Laboratory, mentored by Professor Richard Samworth.

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)

lastname@statslab.cam.ac.uk (replace the first 8 characters by my surname)

(+44) 01223 339792

Short Biography

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

Book (open access!)

Panaretos, V. M. & Zemel, Y. (2020)
An Invitation to Statistics in Wasserstein Spaces
Springer Briefs in Probability & Mathematical Statistics.

The above link points to the publisher website. See also the dedicated page.

Publications

Also available on my Google Scholar profile.

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

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

Preprints

Klatt, M., Munk, A., B. & Zemel, Y. (2020+)
Limit laws for empirical optimal solutions in stochastic linear programs.
Submitted

Galasso, B., Zemel, Y. & de Carvalho, M. (2018+)
Bayesian semiparametric modelling of phase-varying point processes.
Submitted

Other publications

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

Teaching

Lent 2020: Topics in Statistical Theory

Recent and upcoming conferences, presentations and seminars

2019

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

2020

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)