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Thursday, September 23, 2021 4:00 pm - 4:00 pm EDT (GMT -04:00)

Department seminar by Haoda Fu

Please Note: This seminar will be given online.

Statistics & Biostatistics seminar series

Haoda Fu
Eli Lilly and Company

Link to join seminar: Hosted on Zoom

Our Recent Development on Cost Constraint Machine Learning Models

Friday, September 24, 2021 10:00 am - 11:00 am EDT (GMT -04:00)

Department seminar by Christian Y. Robert

Please Note: This seminar will be given online.

Actuarial Science and Financial Mathematics seminar series

Christian Y. Robert
École nationale de la statistique et de l'administration économique Paris (ENSAE)

Conditional mean risk sharing in the individual model for dependent losses

Thursday, September 30, 2021 4:00 pm - 4:00 pm EDT (GMT -04:00)

Department seminar by Shu Yang

Please Note: This seminar will be given online.

Statistics & Biostatistics seminar series

Shu Yang
North Carolina State University (NCSU)

Link to join seminar: Hosted on Zoom

Continuous-time causal models with irregularly spaced longitudinal observations

Thursday, October 7, 2021 4:00 pm - 4:00 pm EDT (GMT -04:00)

Department seminar by Simon Mak

Please Note: This seminar will be given online.

Statistics & Biostatistics seminar series

Simon Mak
Duke University

Link to join seminar: Hosted on Zoom

A graphical Gaussian process model for multi-fidelity emulation of expensive computer codes

Friday, October 15, 2021 10:00 am - 11:00 am EDT (GMT -04:00)

Department Seminar by Steven Vanduffel

Please Note: This seminar will be given online.

Actuarial Science and Financial Mathematics seminar series

Steven Vanduffel
Vrije Universiteit Brussel (VUB)

Link to join seminar: Hosted on Zoom

The optimal payoff for a Yaari investor

Wednesday, October 20, 2021 11:00 am - 11:00 am EDT (GMT -04:00)

Department seminar by Pascal Maillard

Please Note: This seminar will be given online.

Probability seminar series

Pascal Maillard
Université Toulouse III - Paul Sabatier

Link to join seminar: Hosted on Zoom

Understanding algorithmic hardness thresholds through branching random walks