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## Event Calendar

### Quick Look: Upcoming Events

- Fri Jan 20, 2017 : ACMS Colloquium: Yifei Sun, Department of Biostatistics, Johns Hopkins University
- Mon Jan 23, 2017 : ACMS Colloquium: Ping-Shou Zhong, Department of Statistics & Probability, Michigan State University
- Tue Jan 31, 2017 : ACMS Statistics Seminar: Ick Hoon Jin
- Tue Feb 21, 2017 : ACMS Statistics Seminar: Anindya Bharda
- Mon Mar 6, 2017 : ACMS Colloquium: Guo-Cheng Yuan, Department of Biostatistics & Computational Biology, Harvard University
- Mon Mar 20, 2017 : ACMS Colloquium: Hongkai Ji, Department of Biostatistics, Johns Hopkins University
- Tue Mar 21, 2017 : ACMS Statistics Seminar: Drew Lazar
- Fri Mar 24, 2017 : COS-JAM Abstract Deadline
- Mon Mar 27, 2017 : ACMS Colloquium: Nicholas Navin, Department of Genetics, MD Anderson Cancer Center
- Tue Mar 28, 2017 : AMCS Statistics Seminar: Zhiyong Zhang

## Fri Jan 20, 2017

## ACMS Colloquium: Yifei Sun, Department of Biostatistics, Johns Hopkins University

###
4:15 PM - 5:15 PM

127 Hayes-Healy Center

Yifei Sun, Department of Biostatistics, Johns Hopkins University, will give a colloquium titled, "Recurrent Marker Processes in the Presence of Competing Terminal Events " at 4:15 PM in 127 Hayes-Healy Center.

### Posted In: ACMS Colloquia

## Mon Jan 23, 2017

## ACMS Colloquium: Ping-Shou Zhong, Department of Statistics & Probability, Michigan State University

###
4:15 PM - 5:15 PM

127 Hayes-Healy Center

Ping-Shou Zhong, Department of Statistics & Probability, Michigan State University, will give a colloquium titled, "Test for Temporal Homogeneity of High-Dimensional Means with Application to fMRI Studies" at 4:15 PM in 127 Hayes-Healy Center.

### Posted In: ACMS Colloquia

## Tue Jan 31, 2017

## ACMS Statistics Seminar: Ick Hoon Jin

###
4:00 PM - 5:00 PM

154 Hurley Hall

**Ick Hoon Jin**

**University of Notre Dame
Applied Computational Mathematics and Stistics**

**4:00 PM**

**154 Hurley**

**A Doubly Latent Space Joint Model for the Analysis of Item Response Data**

Item response theory (IRT) models explain an observed item response as a function of a respondent's latent trait and the item's property. Local independence, which is a critical assumption for IRT, is often violated during real testing situations, and this violation can severely bias item and person parameter estimates. We propose a new type of model, so-called a doubly latent space joint model, for item response data which does not require the local independence assumption. Our proposed model can estimate relative distances between pairs of items to represent the item dependence structure, which can also be used to identify items clusters in latent spaces. Our approach introduces a new type response analysis with opportunities for further applications and extensions.…

### Posted In: Statistics Seminar

## Tue Feb 21, 2017

## ACMS Statistics Seminar: Anindya Bharda

###
4:00 PM - 5:00 PM

154 Hurley Hall

**Anindya Bharda**

**Purdue University**

**4:00 PM**

**154 Hurley**

**Default Bayes and Prediction Problems With Global-local Shrinkage Priors**

Global-local shrinkage priors, such as the horseshoe prior, have recently emerged as computationally attractive alternatives to spike-and-slab priors in high-dimensional Bayesian problems. In recent years, global-local priors have been studied extensively in the simple normal means model and many attractive theoretical properties have been discovered. The purpose of this talk, however, is to go beyond the normal means model. We will focus on two problems: (a) we will show that global-local priors result in non-informative answers where the parameter of interest is not the vector of normal means per se, but its low-dimensional function, e.g. the sum of squares or maximum, and (b) we will quantify the prediciton risk of global-local priors in regression problems and demonstrate that they can remedy some serious shortcomings of purely global methods of shrinkage, e.g. ridge regression or principal components regression.…

### Posted In: Statistics Seminar

## Mon Mar 6, 2017

## ACMS Colloquium: Guo-Cheng Yuan, Department of Biostatistics & Computational Biology, Harvard University

###
4:15 PM - 5:15 PM

127 Hayes-Healy Center

Guo-Cheng Yuan, Department of Biotatistics & Computational Biology, Harvard University, will give a colloquium titled, "TBA" at 4:15 PM in 127 Hayes-Healy Center.

### Posted In: ACMS Colloquia

## Mon Mar 20, 2017

## ACMS Colloquium: Hongkai Ji, Department of Biostatistics, Johns Hopkins University

###
4:15 PM - 5:15 PM

127 Hayes-Healy Center

Hongkai Ji, Department of Biotatistics, Johns Hopkins University, will give a colloquium titled, "TBA" at 4:15 PM in 127 Hayes-Healy Center.

### Posted In: ACMS Colloquia

## Tue Mar 21, 2017

## ACMS Statistics Seminar: Drew Lazar

###
4:00 PM - 5:00 PM

154 Hurley Hall

TBA…

### Posted In: Statistics Seminar

## Fri Mar 24, 2017

## COS-JAM Abstract Deadline

###
All Day

College of Science, University of Notre Dame

Save the date! The eleventh annual College of Science Joint Annual Meeting (COS-JAM) well be held in the Jordan Hall of Science on Friday, May 5, 2017, as part of the tenth Undergraduate Scholars Conference.

All undergraduate students in the College of Science are invited to participate in COS-JAM by sharing their original research with faculty and students, in either an oral or poster format. Research may have been conducted on or off campus, and mentored by faculty from the University of Notre Dame or at other universities and colleges.

### Posted In: Conferences

## Mon Mar 27, 2017

## ACMS Colloquium: Nicholas Navin, Department of Genetics, MD Anderson Cancer Center

###
4:15 PM - 5:15 PM

127 Hayes-Healy Center

Nicholas Navin, Department of Genetics, MD Anderson Cancer Center, will give a colloquium titled, "TBA" at 4:15 PM in 127 Hayes-Healy Center.

### Posted In: ACMS Colloquia

## Tue Mar 28, 2017

## AMCS Statistics Seminar: Zhiyong Zhang

###
4:00 PM - 5:00 PM

154 Hurley Hall

TBA…