• 2021 Feb 22

Statistics Colloquium: Julia Palacios (Stanford University)

10:30am to 11:30am

Location:

Title:

Distance-based summaries and modeling of evolutionary trees

Abstract:

Ranked tree shapes are mathematical objects of great importance used to model hierarchical data and evolutionary processes with applications ranging across many fields including evolutionary biology and infectious disease transmission.  While...

• 2021 Feb 01

Statistics Colloquium: Jeffrey Miller (Harvard University)

10:30am to 11:30am

Location:

Title:

Robust inference and model selection using bagged posteriors

Abstract:

Standard Bayesian inference is known to be sensitive to model misspecification, leading to unreliable uncertainty...

• 2020 Nov 30

Statistics Colloquium: Sumit Mukherjee (Columbia University)

10:30am to 11:30am

Location:

Title:

Motif Counting via Subgraph sampling

Abstract:

Consider the subgraph sampling model, where we observe a random subgraph of a...

• 2020 Nov 16

Statistics Colloquium: Afonso Bandeira (ETH Zurich)

10:30am to 11:30am

Location:

Title:

Computational Hardness of Hypothesis Testing and Quiet Plantings

Abstract:

When faced with a data analysis, learning, or statistical inference problem, the amount and quality of data available fundamentally...

• 2020 Nov 09

Statistics Colloquium: Alexandra Carpentier (Otto-von-Guericke-Universität Magdeburg)

10:30am to 11:30am

Location:

Title:

Several structured thresholding bandit problem

Abstract:

In this talk we will discuss the thresholding bandit problem, i.e. a sequential learning setting where the learner samples sequentially K unknown distributions for T times, and aims at outputting at the end the set of distributions whose means$$\mu_k$$ are above a threshold $$\tau$$. We will study this problem under four structural assumptions, i.e. shape constraints: that the sequence of means is monotone, unimodal...

• 2020 Nov 02

Statistics Colloquium: Genevera Allen (Rice University)

10:30am to 11:30am

Location:

Title:

Data Integration: Data-Driven Discovery from Diverse Data Sources

Abstract:

Data integration, or the strategic analysis of multiple sources of data simultaneously, can often lead to ...

• 2020 Oct 30

Statistics Open House for Prospective Concentrators

11:30am to 12:30pm

Location:

Zoom Location Below

Statistics Open House for Prospective Concentrators

Friday, October 30, 2020     11:30am – 12:30pm

Meet faculty, and learn about the concentration and secondary field in Statistics!
We...

• 2020 Oct 26

Statistics Colloquium: Francois Caron (University of Oxford)

10:30am to 11:30am

Location:

Title:

Non-exchangeable random partition models for microclustering

Abstract:

Many popular random partition models, such as the Chinese restaurant process and its two-parameter extension, fall in the class of exchangeable random partitions, and have found wide applicability in model-based clustering, population genetics, ecology or network analysis. While the exchangeability assumption is sensible in many cases, it has some strong implications. In particular, Kingman’s representation theorem implies that the size of the clusters...

• 2020 Oct 19

Statistics Colloquium: Frauke Kreuter (University of Maryland)

10:30am to 11:30am