Past Events

2019

Bo Wei Ooi

Master's Thesis Presentation: Bo Wei Ooi

3:00–3:30 pm Jones 304

Master’s Thesis Presentation
Bo Wei Ooi, Department of Statistics, The University of Chicago
“Statistical Inference and Clustering of Trend Functions in High-Dimensional Time Series”

Jul 17
Eric Weine

Student Seminar: Eric Weine

1:00–1:30 pm Jones 304

Master’s Thesis Presentation
ERIC WEINE, Department of Statistics, The University of Chicago
“Efficient Calculation of Improved Simultaneous Testing Bands for QQplots.”

Jul 8
Jun 24

RTG Summer Lectures on Data Science

1:30–4:00 pm Stevanovich Center

Lectures 5 & 6: Spectral methods in network analysis
Speaker: David Bindel, Cornell University
Friday, June 21, 2019, at 1:30-2:30 PM and 3:00-4:00 PM

Jun 21

RTG Summer Lectures on Data Science

1:30–5:30 pm Stevanovich Center

Lectures 3 & 4: Scalable kernel methods
Speaker: David Bindel, Cornell University
Wednesday, June 19, 2019, at 1:30-2:30 PM and 3:00-4:00 PM

Seminar II: Empirical risk minimization over deep neural networks overcomes the curse of dimensionality in the numerical approximation of Kolmogorov PDEs
Speaker: Julius Berner, University of Vienna
Wednesday, June 19, 2019, at 4:30-5:30 PM

Jun 19

RTG Summer Lectures on Data Science

1:30–5:30 pm Stevanovich Center

Lectures 1 & 2: Latent factor models
David Bindel, Cornell University
Monday, June 17, 2019, at 1:30-2:30 PM, and 3:00-4:00 PM

Seminar I: Universal sparsity of deep ReLU networks
Speaker: Dennis Elbrächter, University of Vienna
Monday, June 17, 2019, at 4:30-5:30 PM

Jun 17

Christopher McKennan: Dissertation Presentation and Defense

12:30–1:30 pm Jones 111

The University of Chicago
Department of Statistics

CHRISTOPHER MCKENNAN
Dissertation Presentation and Defense
Title: “Latent Variables in ‘omic’ Data”

Jun 7

Jing Yu: Dissertation Presentation and Defense

11:00 am–12:00 pm Jones 111

The University of Chicago
Department of Statistics

JING YU
Dissertation Presentation and Defense
Title: “On the Application, Theory and Computation of Optimal Experimental Design in the Context of Sensor Placement”

Jun 7

Statistics Colloquium: Samuel Kou

4:30–5:30 pm Eckhart 133

SAMUEL KOU, Department of Statistics, Harvard University
“Big data, Google and Disease Detection: A Statistical Adventure”


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May 20