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Please note: The University of Waterloo is closed for all events until further notice.

Events - October 2020

Friday, October 30, 2020 — 10:00 AM to 11:00 AM EDT

Speaker: Roger Laeven, Full Professor

Affiliation: University of Amsterdam, Netherlands

Date: October 30, 2020

Title: TBD

Abstract: TBD

Please Note: This talk will be given online. Please check back later for details. 

Friday, October 23, 2020 — 10:00 AM to 11:00 AM EDT

Speaker: Johanna Ziegel, Professor

Affiliation: University of Bern, Switzerland

Date: October 23, 2020

Title: TBD

Abstract: TBD

Please Note: This talk will be given online. Please check back later for details. 

Friday, October 16, 2020 — 10:00 AM to 11:00 AM EDT

Speaker: Alfred Muller, Professor

Affiliation: University of Siegen, Germany

Date: October 16, 2020

Title: TBD

Abstract: TBD

Please Note: This talk will be given online. Please check back later for details. 

Friday, October 9, 2020 — 10:30 AM to 11:30 AM EDT

Speaker: Nan Zhu, Associate Professor

Affiliation: Penn State University, USA

Date: October 9, 2020

Title: TBD

Abstract: TBD

Please Note: This talk will be given online. Please check back later for details. 

Wednesday, October 7, 2020 — 11:00 AM EDT

 On univoque and strongly univoque sets


For a number beta in the interval (1,2), the univoque set U_beta is the set of numbers which have exactly one expansion in base beta. It has been well studied in the literature, and can be viewed as the set of points whose orbits avoid the hole in an open dynamical system. In 2011, Jordan, Shmerkin and Solomyak introduced a subset U_\beta' of the univoque set which we'll call the strongly univoque set, and used it to study the multifractal spectrum of Bernoulli convolutions. In this talk we will see another, rather unexpected, application of the strongly univoque set, to the infinite derivatives of Okamoto's self-affine function. We show that U_beta and U_beta' have the same Hausdorff dimension, and characterize the Hausdorff dimension of the difference U_beta\U_beta'.

Please Note: This talk will be hosted online.

Friday, October 2, 2020 — 10:30 AM to 11:30 AM EDT

Speaker: Emiliano Valdez, Professor

Affiliation: University of Connecticut, USA

Date: October 2, 2020

Title: TBD

Abstract: TBD

Please Note: This talk will be given online. Please check back later for details. 

Thursday, October 1, 2020 — 4:00 PM EDT

Data-Adaptive Regression Modeling in High Dimensions


In recent years, it has become easier and less expensive to collect and store large amounts of data in a number of fields. This has amplified interest in the development of statistical methods to adequately model this data. With high-dimensional data, the traditional plots used in exploratory data analysis can be limiting, given the large number of possible predictors. Thus, it can be helpful to fit sparse regression models, in which variable selection is adaptively performed, to explore the relationships between a large set of predictors and an outcome. For maximal utility, the functional forms of the covariate fits should be flexible enough to adequately reflect the unknown relationships and interpretable enough to be useful as a visualization technique. In this talk, we will provide an overview of recent work in the area of sparse additive modeling that can be used for visualization of relationships in big data. In addition, we will present recent novel work that fuses together the aims of these previous proposals in order to not only adaptively perform variable selection and flexibly fit included covariates, but also adaptively control the complexity of the covariate fits for increased interpretability.
 
Please Note: This talk will be hosted online.

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