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Lightning

CS024 Lightning Session 4, Part 1

Thu, Apr 30, 1:15 PM - 2:45 PM Room Milwaukee A Hyatt Regency Milwaukee

Laleh JamshidiChair

Data Science Applications

About this session

This session will be followed by an e-poster session on April 30 from 2:45 - 3:10 PM.

14 Presentations

A Goodness-of-Fit Test for Latent Space Models

1:15 PM - 2:45 PM

Co-authors: Xinyu Li (University of Wisconsin Madison), Xinyu Li (University of Wisconsin Madison), Yinqiu He (University of Wisconsin-Madison)

Network data Latent space model Goodness-of-fit test Bootstrap

A Noise Resilient Approach for Robust Hurst Exponent Estimation

1:15 PM - 2:45 PM

Co-authors: Malith Premarathna, Malith Premarathna, Dixon Vimalajeewa (University of Nebraska Lincoln)

Calibrating hierarchical Bayesian domain inference for a proportion

1:15 PM - 2:45 PM

Co-authors: Rayleigh Lei (University of Michigan), Rayleigh Lei (University of Michigan), Yajuan Si (University of Michigan)

Confidence interval coverage Small domain inference Proportion estimate Calibrated Bayes Frequentist, but Assisted by Bayes (FAB) intervals Hierarchical Bayes

Change Point Detection in Correlated Time-Varying Networks

1:15 PM - 2:45 PM

Co-authors: Chris Chung, Chris Chung, Minh Tang (North Carolina State University), Wenbin Lu (North Carolina State University)

Change point detection Time-varying networks

Classification of leaves using traditional and geometric morphometric features

1:15 PM - 2:45 PM

Co-authors: Giovani Festa Paludo, Giovani Festa Paludo, Julio Silvio de Sousa Bueno Filho (Departamento de Estatística), Gregory Matthews (Loyola University Chicago)

morphometry multivariate analysis classification biometry shape analysis

Design-Aware Variance Reduction for Switchback Experiments: A Comparative Study

1:15 PM - 2:45 PM

Co-authors: Sergei Pankratev (Doordash), Sergei Pankratev (Doordash)

Switchback experiments Variance reduction CUPED CUPAC Cluster-robust inference Doubly robust estimation

Geometry-aware Sparse Estimation for Multiway Tensor Covariances

1:15 PM - 2:45 PM

Co-authors: Wentao Zhan (University of Wisconsin-Madison), Matthias Katzfuss (University of Wisconsin–Madison), Wentao Zhan (University of Wisconsin-Madison)

Tensor Multi-way data Covariance Kronecker structure Sparse inverse Cholesky factorization Vecchia's approximation

Noise-Resilient Time-Series Forecasting via Generative Residual Learning

1:15 PM - 2:45 PM

Co-authors: Golam Hisham (Rhodes College), Golam Hisham (Rhodes College), Muhammad Aleem Azhar (Rhodes College)

time-series forecasting Wasserstein GAN (WGAN-GP)noise-robust learning LSTM adversarial training synthetic time-series generation

Operating characteristics of hypothesis testing approaches for differences in paired AUC under nested cross-validation

1:15 PM - 2:45 PM

Co-authors: Nicholas Larson (Mayo Clinic), Rebecca Roll (Mayo Clinic), Nicholas Larson (Mayo Clinic), Blake Kassmeyer

Machine learning AUC Cross-validation Hypothesis testing

Paired-Portfolio Trading: A Statistical Approach

1:15 PM - 2:45 PM

Co-authors: Sara Mezuri, Sara Mezuri

Canonical Correlation Analysis Cointegration Orthogonal Regression Paired-Portfolio Trading.

Semiparametric Spatial Prediction with Nonparametric Mean Modeling and Fixed Rank Kriging

1:15 PM - 2:45 PM

Co-authors: Mohammad Meysami (Clarkson University), Mohammad Meysami (Clarkson University)

Spatial statistics Large-scale spatial data EM algorithm Nonparametric regression Kriging

Statistical Efficiency and Operating Characteristics of Rank-Based Bayesian Variable Selection

1:15 PM - 2:45 PM

Co-authors: Sakib Salam, Sakib Salam, Anjishnu Banerjee

Variable Selection Bayesian Inference High-Dimensional Data Omics Data Rank-Based Methods Stability

Voting-Based Framework for Democratically Elected Average: Theory, Simulation, and Applications

1:15 PM - 2:45 PM

Co-authors: Kayode Ayinde, Rasaki Yinka Akinbo (Ogun State Polytechnic of Allied and Applied Sciences, Ogun State, Nigeria), Kayode Ayinde

Averages Voting Techniques Democratically Elected Average Most Representative Average Monte Carlo Simulation Bootstrapping Simulation

Weighted Asymptotically Optimal Sequential Testing

1:15 PM - 2:45 PM

Co-authors: Soumyabrata Bose, Soumyabrata Bose, Jay Bartroff (University of Texas At Austin)

Sequential Testing Asymptotic Optimality