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Tue Mar 21, 2017

ACMS Colloquium: Michael Pruitt, Department of Applied and Computational Mathematics and Statistics, University of Notre Dame

3:45 PM - 4:45 PM
127 Hayes-Healy

Pruitt

Michael Pruitt, Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, will give a colloquium titled, "The Discrete Green's Function in Finite Element Methods" at 3:45 PM in 127 Hayes-Healy Center.

Abstract

Posted In: ACMS Colloquia

ACMS Statistics Seminar: Drew Lazar

4:00 PM - 5:00 PM
154 Hurley Hall

Drew Lazar
Ball State University
 

4:00 PM
154 Hurley

Robust Statistical Inference of Manifold-Valued Data

Using Riemannian manifolds to model data with non-linear constraints has been of increasing interest recently. Much work has been done on parametric and nonparametric inference of measures of center of such data. Robustness of such measures must be a concern to adequately account for outliers or contaminations in samples of manifold-valued data. In this talk, we will introduce a procedure for robust estimation of both extrinsic and intrinsic means of distributions on a manifold, which are shown to be robust to outliers and contaminations of arbitrary nature. We will then demonstrate this method and methods of computation for several types of manifolds. …

Posted In: Statistics Seminar

Fri Mar 24, 2017

COS-JAM Abstract Deadline

All Day
College of Science, University of Notre Dame

Undergraduate Research

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

2016 Nicholasnavin Portrait

Nicholas Navin, Department of Genetics, MD Anderson Cancer Center, will give a colloquium titled, "Tumor Evolution at Single Cell Genomic Resolution " at 4:15 PM in 127 Hayes-Healy Center.

Abstract

Posted In: ACMS Colloquia

Ask the Actuaries Seminar: "Actuarial Careers: Balancing Work and Play While Making a Difference"

5:30 PM - 6:30 PM
125 DeBartolo

Andy Hiles, F.S.A., M.A.A.A.

March 27, 2017
5:30 pm
125 DeBartolo

Andy Hiles is a business leader with over 20 years' experience in benefits strategy, design, funding and administration. Andy joined Aetna in 2014 and is the Vice President, National Accounts Risk Management and Analytics. A +$9 billion business, Aetna National Accounts delivers innovative, customer-focused benefits solutions to large employers-covering over 7 million medical members throughout North America. Andy also works directly with customers providing insight on the development of strategic benefits plans which can position employers to meet company cost and talent objectives.…

Posted In: Student Events

Tue Mar 28, 2017

ACMS Statistics Seminar: Zhiyong (Johnny) Zhang

4:00 PM - 5:00 PM
154 Hurley Hall

Zhiyong (Johnny) Zhang
University of Notre Dame
 

4:00 PM
154 Hurley

Two-Stage Bayesian Estimation in Structural Equation Modeling

Bayesian estimation (BE) methods have gained vast popularity in estimating structural equation models (SEMs), given its flexibility to estimate more complex models and incorporate prior information. However, for the existing methods, specifying priors is often difficult and convergence diagnostic of the MCMC iterative procedures is challenging for applied researchers. In this study, a two-stage procedure is proposed to obtain Bayesian estimates of structural equation models. In the first stage, samples for the convariance parameter matrices are independently drawn from its posterior distribution. In the second stage, the model parameter estimates are obtained by fitting a SEM model to the covariance matrices. The newly proposed two-stage procedure solves the challenges faced by the conventional Bayesian SEM. First, prior distributions are specified on the covariance parameter matrix, regardless of the model used. Second, the samples of parameters obtained using the two-stage procedure are independent of each other and thus the convergence diagnostic is not necessary. Simulation studies show that the new method performs well comparing to the conventional Bayesian SEM.…

Posted In: Statistics Seminar

Thu Mar 30, 2017

Ph.D Defense: Shant Mahserejian

3:00 PM - 6:00 PM
154 Hurley Hall

Doctoral candidate, Shant Mahserejian, will defend his dissertation, Thursday, March 30, 2017, at 3:00 PM in 154 Hurley Hall.
The beginning portion is open to the public.


Title: MODELING STUDY OF THE CONNECTION BETWEEN MICRO-LEVEL TIP STRUCTURE WITH MACRO-LEVEL PHASES FOR CHARACTERIZING MICROTUBULE MECHANISM OF DYNAMIC

Posted In: PhD Defense

Fri Mar 31, 2017

ACMS Colloquium: Dexuan Xie, Department of Mathematical Sciences, University of Wisconsin-Milwaukee

4:15 PM - 5:15 PM
127 Hayes-Healy Center

Xie 21

Dexuan Xie, Department of Mathematical Sciences, University of Wisconsin-Milwaukee, will give a colloquium titled, "New Advances in Fast Finite Element Solvers for Local and Nonlocal Electrostatic Continuum Models" at 4:15 PM in 127 Hayes-Healy Center.

Abstract

Posted In: ACMS Colloquia

Mon Apr 3, 2017

ACMS-Math Joint Colloquium: David Harbater, Department of Mathematics, University of Pennsylvania

4:15 PM - 5:15 PM
127 Hayes-Heealy Center

Dhpic

David Harbater, Department of Mathematics, University of Pennsylvania, will give a colloquium titled, Inverse Galois Problems for Differential Equations at 4:15 PM in 127 Hayes-Healy Center.

Abstract

Full List of ACMS Colloquia

Posted In: ACMS Colloquia

Ask the Actuaries Seminar: ACMS Alumni Panel

5:30 PM - 6:30 PM
125 DeBartolo

ACMS Alumni Panel

April 3, 2017
5:30 pm
125 DeBartolo

Allison Dahl - Allison is a derivatives analyst for Allianz Investment Management at Allianz Life Insurance Company of North America in Minneapolis, MN. As a member of the Fixed Index Annuity Portfolio Management team, her responsibilites include static and dynamic hedge production as well as software development. She graduated from the University of Notre Dame with a Bachelor of Science in Applied and Computational Mathematics and Statistics and  a minor in Actuarial Science in 2016.…

Posted In: Student Events

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