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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

Knock on Wood: The Stats and Science Behind Luck

April 5, 2019

Speakers:

Jeffrey Rosenthal

Some days you feel lucky, some days you don’t. Fortune is described as an invisible feeling or force.

Semi-Supervised Inference with Large and High Dimensional Data: A Semi-Parametric Perspective

February 25, 2019

Speakers:

Abhishek Chakrabortty (Department of Statistics, The Wharton School, University of Pennsylvania)

The abundance of large and complex datasets in the

Excel Workshop (Free Food and Great Information)

February 12, 2019

Speakers:

The U of T Actuarial Science Club along with CAS

If you were asked what these meant in the context of excel in an interview, would you be able to answer them?

Two women at event talking to each other

Careers and Subject POSt

March 1, 2019

In this session you will learn about programs, services, and resources available to you at Career Exploration & Education.

Careers and Subject POSt

February 25, 2019

Speakers:

Professionals from the Career Exploration and Education Centre

In this session you will learn about programs, services, and resources available to you at Career Exploration & Education.

Piecewise Deterministic Markov Processes for Markov Chain Monte Carlo

February 28, 2019

Speakers:

Gareth Roberts (University of Warwick)

This talk will describe non-reversible MCMC methods based on Piecewise Deterministic Markov Processes focussing mostly on the Zig-Zag algorit

Entering a New Era: Climate Science in the Time of Big Data and Machine Learning

February 11, 2019

Speakers:

Peer Nowack (Imperial College, London)

Over the last two decades, climate science has rapidly evolved into a big data research field.

Stability-Driven Deep Model Interpretation and Provably Fast MCMC Sampling

February 11, 2019

Speakers:

Yuansi Chen (Department of Statistics, University of California, Berkeley)

Data science is transforming many traditional

Multivariate Discrete Outcomes: from Marginal Model Diagnostics to Nonparametric Copula Estimation

February 6, 2019

Speakers:

Lu Yang (Amsterdam School of Economics, University of Amsterdam)

Multivariate discrete outcomes are common in a wide range of areas including insurance.

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