Non-normal Distributions and Robust Tools Against Assumption Violation -- JSM 2025

It’s Hard to Be Normal: The Impact of Noise on Structure Agnostic Estimation

10:35 AM - 10:50 AM

Co-authors: Jikai Jin (Stanford University), Lester Mackey (Microsoft Research New England), Jikai Jin (Stanford University), Vasilis Syrgkanis (Stanford University)

causal inference causal machine learning semiparametric estimation

Adversarially Robust Synthetic Control: Ensuring Robustness Against Highly Correlated Controls and Weight Shifts

10:50 AM - 11:05 AM

Co-authors: Taehyeon Koo (Rutgers University), Taehyeon Koo (Rutgers University), Zijian Guo (Rutgers University)

Causal inference Synthetic control method Adversarial robustness Distributional shift

Bivariate Tail Probability Approximation

11:05 AM - 11:20 AM

Co-authors: Donghyun Lee (SAS - Statistics, Rutgers New Brunswick), John Kolassa (Rutgers University), Donghyun Lee (SAS - Statistics, Rutgers New Brunswick)

Saddlepoint approximation Multivariate Gaussian approximation Complex analysis Curvature of the boundary of tail region

Broadly discrete stable distributions

11:20 AM - 11:35 AM

Co-authors: Will Townes (Carnegie Mellon University), Will Townes (Carnegie Mellon University)

probability stable distributions discrete stability mixed Poisson count data

Estimation of Parameters of the Truncated Normal Distribution with Unknown Bounds

11:35 AM - 11:50 AM

Co-authors: Dylan Borchert (South Dakota State University), Semhar Michael (South Dakota State University), Dylan Borchert (South Dakota State University), Christopher Saunders (South Dakota State University)

Truncated Normal Distribution Parameter Estimation EM Algorithm Order Statistics

On the Generalized-G Poisson Family of Distributions

11:50 AM - 12:05 PM

Co-authors: Gokarna Aryal (Purdue University Northwest), Gokarna Aryal (Purdue University Northwest)

Generalized distribution zero truncated Poisson distribution McDonald distribution Beta distribution

Thresholding based robust estimation for generalized mixture model

12:05 PM - 12:20 PM

Co-authors: Xin Shen (University of California-Riverside), Xin Shen (University of California-Riverside), Weixin Yao (University of California-Riverside), Zhen Zeng (Nanjing University of Finance and Economics)

Mixture regression models EM algorithm Thresholding Outlier detection Mean-shift Robust procedures

Non-normal Distributions and Robust Tools Against Assumption Violation

7 Presentations