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Department of Pure Mathematics and Mathematical Statistics

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.

My email address is the last five characters of the URL of this page at cam.ac.uk.

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

My book with Victor M. Panaretos, An Invitation to Statistics in Wasserstein Spaces, will appear with open access in the series Springer Briefs in Probability & Mathematical Statistics.

Publications

Panaretos, V. M. & Zemel, Y. (2016)
Amplitude and phase variation of point processes.

The Annals of Statistics
44(2):771-812b

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

 

Preprints

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

News

I will be attending:

Topology for Learning and Data Analysis, Toulouse, September 30 - October 4

Royal Statistical Society discussion meeting, London, October 16

Statistics for Topological and Discrete Data, Lausanne, May 25-29, 2020

Statistical and Computational Optimal Transport School, Lausanne, June 08-12, 2020

Geometrical Statistics and Functional Data, Lausanne, June 22-26, 2020

5th Internation Workshop on Functional and Operatorial Statistics, Brno, June 24-26, 2020

 

5th International Workshop
on Functional and Operatorial Statistics

Room

D0.20

Telephone

01223 339792