STA 701 Readings in Statistical Science

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Course information

• Time: M 11:45-1:00
• Organizer: Peter Hoff
• Place: Old Chemistry 116

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Course content

This seminar provides graduate students with the opportunity to discuss their research with other students and faculty, as well as practice giving research presentations. Each session will consist of either two short presentations, or one long presentation.

Presenters will receive feedback on their presentations from me. Other audience members are strongly encouraged to provide feedback as well. Please email the presenter with comments you have. A minimal template for feedback includes

1. a description of positive aspects of the presentation;

2. a description of things that need some work;

3. any additional technical comments or suggestions.

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Seminar schedule

Feb 12

(Piotr Suder chair)

1. Emily Tallman: Understanding Entropic Tilting

2. Joe Mathews: Approximating Marginal Sequence Likelihoods Under Context-Dependent Evolutionary Models

Feb 19

(Yueqi Guo chair)

1. Jennifer Kampe: Covariate-informed ecological link prediction under extreme taxonomic bias

2. Bo Liu: Addressing Selection Bias in Cluster Randomized Experiments via Weighting

Feb 26

(Luke Vrotsos chair)

1. Yuren Zhou: A Theoretical Framework for Gibbs Samplers with Approximate Likelihoods
2. Steve Winter: Sequential Gibbs Posteriors with Applications to Principal Component Analysis

Mar 4

No seminar.

Mar 11

No seminar.

Mar 18

(Shuo Wang chair)

1. Cathy Lee: Divide and Conquer for Correlation Estimation in Spatially Correlated High-Dimensional Binary Outcome Data
2. Christine Shen: Bayesian model evaluation using p-values

Mar 25

(Jaehoan Kim chair)

1. Glenn Palmer: Low-rank longitudinal factor regression
   
2. Kevin Li: ProSpar-GP: scalable Gaussian process modeling with massive non-stationary datasets

Apr 1

No seminar.

Apr 8

(Marie Neubrander chair)

1. Riccardo Rossetti: Linear Operator Approximate Message Passing and Application to Stochastic Updates
   
2. John Miller: Diverse Bayesian Optimization of Expensive Black-Box Simulators for Internal Combustion Engine Control

Apr 15

(Gyeonghun Kang chair)

1. Sam Rosen: Biconvex Biclustering and Convergence of Biconvex Optimization