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Waterloo Student Conference in Statistics, Actuarial Science and Finance Waterloo Student Conference in Statistics, Actuarial Science and Finance University of Waterloo

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5/23/22, 11:57 PM
Waterloo Student Conference in Statistics, Actuarial Science and Finance | Waterloo Student Conference in Statistics, Actuarial …
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Waterloo Student Conference in Statistics, Actuarial Science and Finance (/statistics-actuarial-sciencefinance-student-conference)
November 5 & 6, 2021 in Waterloo, Ontario
Keynote Speakers
SHELDON LIN
Professor, University of Toronto
X. Sheldon Lin is a Professor of Actuarial Science at the University of Toronto and serves as an Editor for Insurance:
Mathematics and Economics. His recent research is on data-driven nonlinear regression modelling for insurance
rate-making and reserving, and risk management of large variable annuity and other insurance portfolios. The
research aims to develop new and implementable methodology and technologies for insurance.
ROBERT TIBSHIRANI
Professor, Stanford University
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5/23/22, 11:57 PM
Waterloo Student Conference in Statistics, Actuarial Science and Finance | Waterloo Student Conference in Statistics, Actuarial …
Robert Tibshirani is a Professor of Biomedical Data Science, and of Statistics, at Stanford University. He has made
important contributions to the statistical analysis of complex datasets. Some of his most well-known contributions
are the Lasso, which uses L1 penalization in regression and related problems, generalized additive models and
Significance Analysis of Microarrays (SAM). He also co-authored five widely used books ‘Generalized Additive
Models’, ‘An Introduction to the Bootstrap’, ‘The Elements of Statistical Learning’, 'An Introduction to Statistical
learning', and ‘Sparsity in Statistics: the Lasso and its generalizations’.
Additional event:
David Sprott Distinguished Lecture by Christian Genest on November 4, 2021
Christian Genest is Professor of Statistics, Canada Research Chair in Stochastic Dependence Modeling, and a
fellow of the Trottier Institute for Science and Public Policy at McGill University. A graduate of the University of
British Columbia (1983), he held previous posts at Carnegie-Mellon University (1983-84), the University of Waterloo
(1984-87), and Université Laval (1987-2010). His main research interests are in multivariate analysis,
nonparametric inference, and extreme-value theory. He has published in a broad range of journals and
collaborates often with researchers in finance, insurance, and environmental science. He was a pioneer of the
copula approach to dependence modeling and his work in the area is widely cited. He was the 2011 recipient of
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Waterloo Student Conference in Statistics, Actuarial Science and Finance | Waterloo Student Conference in Statistics, Actuarial …
the Statistical Society of Canada Gold Medal and was elected a Fellow of the Royal Society of Canada in 2015. He
received a Humboldt Research Prize in 2019 and the 2020 John L. Synge Award. Genest has also served in
numerous professional and editorial capacities, notably as President of the Statistical Society of Canada (2007-08)
and Editor-in-Chief of the Journal of Multivariate Analysis (2015-19).
November 3, 2021
Register for the David Sprott Distinguished Lecture by Christian Genest
(blog/post/register-david-sprott-distinguished-lecture-christian-genest)
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