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Information Geometry: Geometrization of Statistical Inference

July 15, 2019

Speakers:

Jun Zhang, University of Michigan

Information Geometry is the differential geometric study of the ma

Leveraging genetic ancestry for new insights into complex traits

June 19, 2019

Speakers:

Timothy Thornton (University of Washington)

Genetic studies in multi-ethnic cohorts offer great potential to elucidate the genetic factors influencing complex traits.

Towards the finite-sample variance bounds for unbiased estimators

June 5, 2019

Speakers:

Ioannis Kosmidis (University of Warwick)

The inverse of the Fisher information matrix in a likelihood problem is i) the variance-covariance matrix of the asymptotic distributio

Poster of a public lecture for the speaker Frank Hevent

“Musings on Statistical Models vs Machine Learning in Health Research”.

May 2, 2019

Speakers:

Professor Frank E. Harrell, Department of Biostatistics, Vanderbilt University

Health researchers and practicing clinicians are with increasing frequency hearing about machine learning (ML) and artifici

Free Lunches for Subsampling MCMC

April 26, 2019

Speakers:

Aaron Smith, University of Ottawa

Markov chain Monte Carlo (MCMC) is a popular generic algorithm

Students listening to a talk on Research Day 2019

Statistics Graduate Student Research Day 2019

April 25, 2019

Statistics Graduate Student Research Day is an annual one day conference organized by the Department of Statistical Sciences, University of Toronto

First Annual U of T Scientista Conference

March 24, 2019

The University of Toronto Scientista Chapter is holding its first annual conference, aimed at the advancement and integration of women in STEM.

SIAM Financial Mathematics & Engineering 2019 (FM19)

June 4, 2019 to June 7, 2019

The biennial SIAM Financial Mathematics & Engineering meeting is the premiere meeti

“Data Nuggets” and “Enrichment” Tools for Analyzing Big Data

March 28, 2019

Speakers:

Javier Cabrera (Rutgers University)

Big data has created new challenges for data analysis due to the large size of the datasets, with millions of observations and/or thousands of vari

Personalized Prediction and Recommender Systems

April 11, 2019

Speakers:

Xiaotong Shen (University of Minnesota)

Personalized prediction predicts a user's preference for a large number of items through user-specific as well as content-specific information, bas

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