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  2. Seminars

Statistics and Data Science Seminar Series

Date Speaker Title
Thurs. 1/30

Jake Gagnon

Biogen

ML Best Practices with Reproducible Reporting

Thurs. 2/6

Kun Meng

Brown University

Statistical Analysis of Shapes and Images via the Euler Characteristic

Thurs. 2/13

Robert Thiesmeier

Karolinska Institute

A new framework for multiple imputation in distributed data networks

Thurs. 2/27

Evan Ray

University of Massachusetts Amherst

Evaluating Infectious Disease Forecasts with Allocation Scoring Rules

Thurs. 3/6

Zhengqing Ouyang

University of Massachusetts Amherst

Model-based embedding for 3D structure reconstruction

Thurs. 3/13

Judith Lok

Boston University

Learn-as-you-Go (LAGO) to adapt the intervention in an ongoing trial to prevent trial failure

Thurs.  3/27

Yuedong Wang

University of California Santa Barbara

Estimation and model selection for nonparametric function-on-function regression

Thurs. 4/3

Elizabeth (Betsy) Bersson

Massachusetts Institute of Technology

Covariance meta regression, with application to mixtures of chemical exposures

Thurs. 4/10

Jiwei Zhao

University of Wisconsin

Statistical Benefits when Incorporating LLM-Derived Predictions: Old Wine in a New Bottle?

Thurs.  4/17

Aaron Scheffler

University of California San Francisco

Constrained covariate-dependent smoothing and curve registration with applications to disease progression modeling

Thurs. 4/24

Mylène Bédard

University of Montréal

Performance boost for the MALA sampler

Thurs. 5/1

Cong Jiang

Harvard University

A Double Machine Learning Approach for the Evaluation of Vaccine Effectiveness under the Test-Negative Design

 

Date Speaker Title
Thurs. 9/12

Aaron Sarvet 

University of Massachusetts Amherst

The outperformance of machine learning by human intuition: resolving a paradox with unmeasured confounding

Thurs. 9/19

Xiaoyu Chen

University at Buffalo

Distribution-in-distribution-out Regression

Thurs. 9/26

Omar Melikechi

Harvard University

Integrated path stability selection

Thurs. 10/3

Hannah Correia

Johns Hopkins University

Leveraging flexible models with interpretable ML and eXplainable AI approaches for causal reasoning in complex systems

Thurs. 10/10

Mary Lai O. Salvaña

University of Connecticut

Multi- and Mixed-Precision Computations for Spatial and Spatio-Temporal Statistics

Thurs. 10/17

Michael Stein

Rutgers University

Spatial Interpolation with Estimated Covariance Functions

Thurs. 10/24

Lulu Kang

University of Massachusetts Amherst

Tutorial on Gaussian Process and Bayesian Optimization

Thurs. 10/31

Jialin Li

University of Massachusetts Amherst

Convergence Rate Results in Black-Box Optimization with Surrogate Models

Thurs. 11/7

Ben Rogers

University of Massachusetts Amherst

Bayesian Covariance Modeling for Longitudinal Zero-Inflated Count Data

Thurs. 11/21

Erik Learned-Miller

University of Massachusetts Amherst

Confidence bounds on the mean: what is possible?

Thurs. 12/5

Carlos Soto

University of Massachusetts Amherst

Functional Gaussian Differential Privacy for Private 3D Human Faces

 

Date Speaker Title
Wed. 2/7
Ted Westling
University of Massachusetts Amherst

Debiased inference for a covariate-adjusted regression function

Wed. 2/14
Katherine Moore
Amherst College

Cohesion: A Social Perspective on Clustering

Wed. 2/21
Xi Ning
Colby College

A semiparametric Cox-Aalen transformation model with censored data

Wed. 2/28
James Matuk
University of Pittsburgh

Bayesian modeling of nearly mutually orthogonal processes

Wed. 3/6
Carlos Soto
University of Massachusetts Amherst

Applications of Elastic Shape Analysis

Wed. 3/13
Maryclare Griffin
UMass Amherst

Log-Gaussian Cox process modeling of large spatial lightning data using spectral and Laplace approximations

Wed. 3/27
Tim Rudner

Data-Driven Priors for Trustworthy Machine Learning

Wed. 4/10
Claire Bowen
Urban Institute

Navigating Data Privacy in Public Policy to Responsibly Represent People in Data

Wed. 4/17
Chih-Li Sung
Michigan State University

Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy

Wed. 4/24
Peng Ding
UC Berkeley

Causal inference in network experiments: regression-based analysis and design-based properties

Date Speaker Title
Wed. 9/13
Rebecca Kurtz-Garcia
Smith College

Bandwidth Selection for Zero Lugsail Estimators

Wed. 9/20
Tirthankar Dasgupta
Rutgers University

Design-based inference: thoughts, methods, algorithms

Wed. 9/27
Burcu Eke Rubini
University of New Hampshire

Mixed Models and Q-Connectivity Graphs for Children’s Play Networks

Wed. 10/4
Qiong Zhang
Clemson University

Statistical Designs for Network A/B Testing

Wed. 10/11
Yuxin Tao
Tsinghua University

Statistical Inference for stable asymmetric GARCH models

Wed. 10/18
Yiqi (Annie) Tang
Colby College

Empirical priors inference in sparse high-dimensional generalized linear models

Wed. 10/25
David Jensen
University of Massachusetts Amherst

Do observational causal inference methods really work?

Wed. 11/1
Kengo Kato
Cornell University

Entropic optimal transport: stability, limit theorems, and algorithms

Wed. 11/8
Dipak Dey
University of Connecticut

Generalized Variable Selection Algorithms for Gaussian Process Models

Wed. 11/15
Arman Oganisian
Brown University

Bayesian Semiparametric Models for Informatively Timed Sequential Treatments

Fri. 12/8
Maoran Xu
Duke University

Identifiable and interpretable nonparametric factor analysis

Mon. 12/11
Jing Ouyang
University of Michigan

Covariate-Adjusted Generalized Factor Analysis with Application to Testing Fairness

Wed. 12/13
Nathan Wycoff

Exploring and Optimizing Computational Models with Gaussian Processes

Thu. 12/14
Arkajyoti Saha

Inference for machine learning under dependence

Fri. 12/15
Satarupa Bhattacharjee

Single Index Fréchet Regression

Department of Mathematics and Statistics

Award-winning teaching, research opportunities, and interdisciplinary programs in a diverse, inclusive community of excellence.

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University of Massachusetts Amherst
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Department Fax: (413) 545-1801
Department Office: LGRT 1657

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