• 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 23

# Statistics Colloquium: Harrison Zhou (Yale University)

10:30am to 11:30am

## Location:

### Title:

Global Convergence of EM?

### Abstract:

In this talk I will first discuss a recent joint work with Yihong Wu: https://arxiv.org/abs/1908.10935. We show that the randomly initialized EM...

• 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