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Seminar Series

Seminar Series

Beyond Curve Fitting: Transfer Learning and Causal Reasoning

October 24, 2019

Speakers:

Xu Shi, University of Michigan

The gr

Monte Carlo Methods Based on Series Expansions for Ising-Type Models

October 17, 2019

Speakers:

Mehdi Molkaraie, ETH-Zurich

We propose Monte Carlo methods to estimate the partition function of the Ising model.

A constrained grouped additive index model, applied for weather-health warning systems

October 10, 2019

Speakers:

Fateh Chebana, Institut National de la Reserche Scientifique (INRS)

In the last twenty years, a number of countries implemented heat-health warning system to monitor heat waves and take action to reduce their impact

Dependence Testing in High Dimension

October 3, 2019

Speakers:

Xiaofeng Shao, University of Illinois, Urbana-Champaign

The talk consists of two parts: mean independence testing and mutual independence testing for high dimensional data.

Large-Scale Inference with Knockoffs

September 26, 2019

Speakers:

Yingying Fan, University of Southern California

Power and reproducibility are key to enabling refined scientific discoveries in contemporary big data applications with general high-dimensional no

Reluctant Interaction Modeling

September 19, 2019

Speakers:

Jacob Bien, University of Southern California

Including pairwise interactions between the predictors of a regression model can produce better predicting models.

Modelling Environmental Data Using Bootstrap Methods

September 12, 2019

Speakers:

Raquel Menezes, University of Minho, Portugal

Environmental monitoring data often have both a spatial structure, determined by the locations of monitors, and a temporal one, determined by the f

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

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