I am an incoming Postdoctoral researcher at EPFL in the chair of Mathematical Statistics , where I obtained my PhD advised by Victor Panaretos .
I am interested in statistical inference for random processes and inverse problems arising in the context of optimal transport and functional data analysis. This often brings me in close contact with pure/applied probability, optimisation and data science.
You may find my full CV here .
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Fundamental limits and algorithms for data processing and machine learning. Statistics, discrete probability, learning theory, information theory, algorithms.
Chair of Statistics. We centre our research activity around statistical theory and methods. A particular focus at present is statistics of extremes, particularly applications to complex environmental problems.
Anthony Davison has published on a wide range of topics in statistical theory and methods, and on environmental, biological and financial applications. His main research interests are statistics of extremes, likelihood asymptotics, bootstrap …
Statistical Machine Learning (MATH-412) studies methods of supervised and unsupervised machine learning from a mathematical viewpoint. Statistical Computation and Visualisation …
Statistics. This course provides an introduction to the mathematical treatment of the theory of statistical inference using the concept of likelihood as a unifying theme. Linear models. Regression modelling is a fundamental tool of statistics, …
Statistics for genomic data analysis (Cours donné en alternance tous les deux ans )
Interest in the methods and concepts of statistical physics is rapidly growing in fields as diverse as theoretical computer science, probability, machine learning, discrete mathematics, …
I am a PhD candidate at EPFL advised by Victor Panaretos in the chair of Mathematical Statistics. I am interested in statistical inference for random processes and inverse problems …