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CAST Seminar

CAST Seminar

Cloud Computing Ecosystems in Genetic Risk Prediction

April 14, 2025

Speakers:

Bingxin Zhao

Polygenic risk scores (PRS) model training is essential for risk prediction in precision medicine but face adoption challenges due to computational

Meaningful Learning Through Equitable Assessment in Statistics Education

March 28, 2025

Speakers:

Nathalie Moon

The landscape of statistics education assessment has transformed dramatically in recent years, influenced by both the COVID-19 pandemic and the rap

A Novel Multiply Robust Estimator for the Average Treatment Effect that Addresses Confounding and Covariate-Driven Observations

March 19, 2025

Speakers:

Janie Coulombe

Randomized controlled trials (RCTs) are the gold standard for drawing causal inferences about the marginal effect of a treatment.

Multi-State Optimization Problems in Personal Finance and Insurance

February 20, 2025

Speakers:

Mogens Steffensen

We discuss problem formulations and solutions to optimization problems based on the time-inhomogeneous continuous-time Markov chain, which formaliz

New Songs for Old Stories: Interface between Experimental Design and Machine Learning

January 31, 2025

Speakers:

Xinwei Deng

Experimental design and machine learning techniques have been widely used in engineering and data science applications.

Speeding up Metropolis Using Theorems

January 24, 2025

Speakers:

Jeffrey Rosenthal

Markov chain Monte Carlo (MCMC) algorithms, such as the Metropolis algorithm, are designed to converge to complicated high-dimensional target distr

Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information

January 13, 2025

Speakers:

Geneviève Gauthier

Authors: François, P., Gauthier, G., Godin, F., Pérez Mendoza, C. O.

Genome Data Science: Towards understanding GWAS loci

November 21, 2024

Speakers:

Lisa Strug

Genome Data Science includes the collection, manipulation, storage, visualization and extraction of information from increasingly larger, more hete

Ordinal State Transition Models as a Unifying Risk Prediction Framework

November 18, 2024

Speakers:

Frank Harrell

In this talk I will present a case for the use of discrete time Markov ordinal longitudinal state transition models as a unifying approach to model

Dependent Random Partitions by Shrinking Toward an Anchor

November 12, 2024

Speakers:

David Dahl

Although exchangeable processes from Bayesian nonparametrics have been used as a generating mechanism for random partition models, we deviate from

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