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Administrative data

Yoav Zemel

yoav.zemel@epfl.ch https://yoavzemel.github.io

EPFL SB MATH
MA A1 417 (Bâtiment MA)
Station 8
1015 Lausanne

Awards and honours

Second best master poster, 2012 Swiss government scholarship, 2010-2012 EPFL excellence scholarship, 2010-2011 Summa cum laude for the Bachelor, 2010 Participant in workshops for honour students in mathematics and economics, 2009-2010 Hebrew University "Amirim" scholarship, 2008-2010 Hebrew University Dean’s prize, 2008-2009 Hebrew University Rector prize, 2007-2008

Research interests

Geometrical statistics, point processes and shape theory Functional data analysis Optimal transportation

Education

Doctorate

| Mathematical statistics

2012 – 2017 EPFL

Master

| Applied mathematics. Thesis title: Optimal Transportation: Continuous and Discrete

2010 – 2012 EPFL

Bachelor

| Mathematics and economics

2007 – 2010 The Hebrew University of Jerusalem

Selected publications

AMPLITUDE AND PHASE VARIATION OF GENERALISED FUNCTIONAL DATA

Victor M. Panaretos and Yoav Zemel
Published in Submitted to the Annals of Statistics in

Research

Journal articles

Panaretos, V. M. and Zemel, Y. (2016) Amplitude and Phase Variation of Point Processes. Annals of Statistics, 44 (2): 771-812. Henshaw, J. M. and Zemel, Y. (2017) A unified measure of linear and nonlinear selection on quantitative traits. Methods in Ecology and Evolution 8 (5): 604&614. Zemel, Y. and Panaretos, V. M. (2016) Fréchet Means and Procrustes Analysis in Wasserstein Space. To appear in Bernoulli. Masarotto, M., Panaretos, V.M., and Zemel, Y. (2018) Procrustes metrics on covariance operators and optimal transportation of Gaussian processes. arXiv:1801.01990

Teaching & PhD

Courses

Probability and statistics

MATH-234(b)

This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression.

Probability and statistics

MATH-234(d)

This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression.

Statistical machine learning

MATH-412

A course on statistical machine learning for supervised and unsupervised learning

Statistical theory

MATH-442

This course gives a mostly rigourous treatment of some statistical methods outside the context of standard likelihood theory.