Submitted Abstracts

Abstracts:

• Shakeel Ahmed - Post Stratification Using Double-Goal CART: An Application to Domain-Specific Health Outcomes Estimation in Pakistan

• Syed Shafi Ahmed - A Comparative Study of Unconditional and Conditional Higher Moment CAPM Models

• Josephine Akosa - On Improving BH Procedures for High-Dimensional Dependent Data

• Norah Alalyani - Nonparametric Predictive Inference for Reproducibility of One-Way Layout Tests

• Abdulrahman Aldawsari - Parametric Bootstrap for Reproducibility Probability of Tests

• Fatimah Alghamdi - Reproducibility for Estimation Based on Randomised Response Methods

• Badr Aloraini - Estimation of Population Variance Using Optional Randomized Response Technique Model in the Presence of Measurement Errors

• Jiya Amir - Family of Estimators of Finite Population Mean in the Presence of Non-Response and Measurement Error

• Naila Amjad - Psychosocial and Socio-Economic Crisis of Covid-19 Affected by Demographic Factors in Lahore, Pakistan

• Amber Asghar - Multivariate Estimator for Estimating Vector of Population Variances Using Multi-Auxiliary Variables

• SUNANDA Bagchi - Optimality of Multi-Way Designs

• Sarangan Balasubramaniam - Spatial Prediction on the Axially Symmetric Process

• David Banks - Statistical Challenges in Computational Advertising

• Sandip Barui - Semiparametric Methods for Survival Data with Measurement Error under Additive Hazards Cure Rate Models

• Isabelle Beaudry - A Bayesian Approach to Differential Recruitment with Respondent-Driven Sampling Data

• Stephen Buckland - Wildlife Population Assessment: Changing Priorities Driven by Technological Advances

• Mathieu Carrière - A Framework to Differentiate Persistent Homology with Applications in Machine Learning and Statistics

• Rachel Carroll - Quantifying the Impact of the COVID-19 Pandemic on Cancer Screenings

• Aditi Chaturvedi - Randomly Censored Kumaraswamy Distribution

• Chao Chen - Detection of Trojan Attacks to Deep Neural Networks – A Topological Perspective

• Kun Chen - An Amalgamation-Based and Taxonomy-Guided Statistical Learning Paradigm for Microbiome Data

• Ming-Hui Chen - Bayesian Network Meta-Regression Hierarchical Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances

• Shuai Chen - An Improved Survival Estimator for Censored Medical Costs Using Kernel Methods

• Shrabanti Chowdhury - A-ComVar: A Flexible Extension of Common Variance Designs

• Jessi Cisewski-Kehe - Distinguishing Cosmological Models with Topological Data Analysis

• James Clothier - Metric Learning Methods for Drug Discovery

• Karen Cochran - Using Statistics to Guide Fatigue Reduction Planning Among Nurses

• Frank Coolen - Introduction to Nonparametric Predictive Inference and Statistical Reproducibility

• Tahani Coolen-Maturi - Nonparametric Predictive Inference for Diagnostic Accuracy

• Kumer Das - Predicting Stock Indices in Relation to the Number of COVID-19 Infection Rate

• Xinwei Deng - Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization

• Marie Denis - Bayesian Varying Coefficient Model with Selection

• Bianca Dumitrascu - Machine Learning for Actionable, Interpretable Marker Selection in -omics Studies

• Mohamad Faradonbeh - Thompson Sampling for Partially Observed Contextual Multi-Armed Bandits

• Shannon Ford - Assessing Relationships between Adolescent Symptoms for Improved Understanding and Care: A Network Perspective

• Chris Fraley - Model-Based Clustering

• Beth Gardner - Integrating Animal Movement Processes into Spatial Capture-Recapture Models

• Olivier Gimenez - Lasso for Covariate Selection in Capture-Recapture Models

• Maria Ivette Gomes - The Role of Generalised Means in the Weibull Tail Coefficient Estimation

• Sharmistha Guha - Bayesian Causal Inference with Bipartite Record Linkage

• Josh Habiger - Policies for Replicable Research and the Community-Wide False Discovery Rate

• Mariyam Hafeez - Cubic Transmuted Power Function Distribution: Theory and Applications

• Haibin Hang - Topological Linear Regression

• M. Christina Hoffman - Statistical Models of Ballot Truncation in Ranked Choice Elections

• Kaitlyn Hohmeier - Obesity Epidemic in the Low Country of South Carolina: A Cause-Effect Type Analysis Using Statistical Methods

• Giles Hooker - Selecting the Derivative of a Functional Covariate in Scalar-on-Function Regression

• Xiaoming Huo - Regularization Matters for Generalization of Overparametrized Deep Neural Network under Noisy Observations

• Janine Illian - Spatial Point Process Modelling - Complexity and Ecological Processes

• Adam Jaeger - The Roots of Trees

• Ryan Janicki - A Spatial Change of Support Model for Differentially Private Measurements, with Application to Estimation of Counts of Persons in AIAN Areas by Detailed Race Groups

• Jeevan Jankar - A General Equivalence Theorem for Crossover Designs under Generalized Linear Models

• Daniel Jeske - Sample Size Calculations for Mixture Alternatives in a Control Group vs. Treatment Group Design

• Xiaoqian Jiang - Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network

• Zhezhen Jin - Statistical Inference for Semiparametric Regression Models

• Charlotte Jones-Todd - The Role of Random Fields in Modelling Spatiotemporal Point Patterns

• Roshan Joseph - Data Splitting

• Karen Kafadar - Critical Role of Statistics in Evaluating Forensic Evidence

• Sara Kalisnik - Sampling Smooth Manifolds Using Ellipsoids

• Sarah Kanwal - A Generalized Estimator of the Finite Population Mean Using Auxiliary Information in the Presence of Combined Effect of Measurement Error and Non-Response

• Jason Kao - Bagging-Enhanced Sampling Schedule for Functional Quadratic Regression

• Timothy Keaton - Design and Dismemberment of the Multi-Armed Bandit

• Sadia Khalil - Generalized RRT Mean Estimator Using Two Auxiliary Variables in the Presence of Measurement Errors in Two-Phase Sampling

• Hina Khan - On Estimation and Monitoring of Population Mean Using Sampling on Two Successive Occasions with Auxiliary Information

• Daniel Kowal - Subset Selection for Linear Mixed Models

• Debasis Kundu - Order Restricted Inference for a Multiple Step-Stress Model with Long-term Survivors

• Eric Laber - Non-Dominated Adaptive Clinical Trials

• Austin Lawson - Persistence Curves: A framework for summarizing persistence diagrams

• Mi Hyun Lee - How Consumers Respond to Pre-Roll Skippable Advertising on Different Devices: A Comparison between Mobile Devices and Personal Computers

• Ryan Lekivetz - On the Testing of Statistical Software

• Quefeng Li - Integrative Factor Regression and Its Inference for Multimodal Data Analysis

• Bo Liu - Multiple Imputation Inferences for Count Data

• Maxwell Lovig - Using Conformal Predictions and BERT to Better Automate Part-of-Speech Tagging and Redacted Word Prediction

• Bin Luo - A Robust Cox Proportional Hazard Model for High-Dimensional Survival Data Analysis

• Fatima Majeed - Gull Alpha Power Moment Exponential Distribution: Properties, and Applications

• Mahnaz Makhdum - Mean Estimation of Population Mean of Sensitive Variable in the Presence of Non-Response and Measurement Errors Using Optional RRT in Two-Phase Sampling

• Abhyuday Mandal - MaGP: Modeling and Active Learning for Experiments with Quantitative-Sequence Factors

• Filipe Marques - Nonparametric Predictive Inference for Test Reproducibility by Sampling Future Data Orderings

• Melinda Martin - Approximate Simultaneous Comparisons with a Control for Ranked-set Samples

• Tyler H. McCormick - Identifying Latent Geometry through Analysis of Curvature

• Thomas McCoy - Modeling Proportions Adhering to Ergonomic Safety Measures for Perioperative Nurses: An Application of Beta Regression and Challenges

• Sheela Misra - Post Pandemic Challenge of Socio-Mental Wellbeing and Role of Statistics

• Silvia Montagna - Flexible Bayesian Factor Analysis Models for Functional Data

• JP Morgan - Row-Column Designs with a BIBD Component

• Darcy Steeg Morris - Missing Data Methods at the Census Bureau with Massive Nonresponse and Observational Data

• Sayed Mostafa - Nonparametric Model-Assisted Estimation Using Scrambled Responses from Complex Surveys

• Kalliopi Mylona - Supersaturated Split-Plot Experiments in Industry

• Balakrishnan Narayanaswamy - Family of mean-mixtures of multivariate normal distributions: Properties, inference and assessment of multivariate skewness

• Farzana Nasrin - Random Persistence Diagram Generation

• Trisha Nayak - Data Compression and Prediction

• Sana Nazir - Factors Affecting the Pregnancy Outcome using Pakistan Maternal Mortality Survey (PMMS) 2019

• Hon Keung Tony Ng - Semiparametric and Nonparametric Evaluation of First-Passage Distribution of Bivariate Degradation Processes

• Robert Obenchain - Cost-Effectiveness Models with Nonlinear Preference Maps

• Suvra Pal - An Efficient Estimation Algorithm for Cure Rate Model with Competing Risks

• Suvra Pal - A New Support Vector Machine-Based Promotion Time Cure Rate Model

• Frederick Kin Hing Phoa - A Factor Screening Approach for Supersaturated Experiments with an Exponential Family Response via a Generalized Dantzig Selector

• Sergio Pozuelo Campos - Robust Designs for Toxicological Test

• Muhammad Nouman Nazar Qureshi - Memory-Type Ratio and Exponential Ratio Estimators for the Estimation of Stratified Population Variance in Presence of Measurement Error for Time-Scaled Surveys

• Andrew Raim - Direct Sampling in Bayesian Hierarchical Models for Privacy Protected Data

• Jim Ramsay - My Life with Manifolds

• Grace Rhodes - Markov Chain Composite Likelihood and Its Application in Recombination Model

• Souvik Roy - A Projected Non-Linear Conjugate Gradient Algorithm for Parameter Estimation in A Cure Rate Model

• Arman Sabbaghi - Bandits With Priors

• Snehanshu Saha - Estimation and Applications of Quantiles in Deep Binary Classification

• Pujita Sapra - An Optional Mixture Binary RRT Model with a Unified Measure of Privacy and Efficiency

• Naz Saud - A New Five-Parameter Lifetime distribution: Properties, Characterization and Applications

• Christopher Schmid - Bayesian Methods for Meta-Analysis of N of 1 Trials

• Matthew Schneider - Protecting Time Series Data with Minimal Forecast

• Javid Shabbir - Multi-Objective Pareto Optimum Sample Allocation in Multivariate Stratified Sampling

• Abeera Shakeel - Analysis of Spatial Patterns and Associated Factors of Stillbirth in Pakistan, PDHS (2017-18): A spatial and multilevel analysis

• Julia Sharp - Adapting to the Changing Landscape of Academic Statistical Collaboration

• Ziv Shkedy - Bayesian Model Averaging in Longitudinal Studies Using Bayesian Variable Selection Methods

• Wenhao Shou - Following NCCN Guidelines within One Hospital System in the United States: Comparison between Cancer Centers and Genetic Counselor Utilization

• Lianne Siegel - Estimating the Reference Range from a Meta-Analysis using Aggregate or Individual Participant Data

• Rakhi Singh - Design Selection for 2-Level Supersaturated Designs

• Satya Singh - Optimal Designs for Testing Pairwise Differences: A Graph Based Approach

• Eric Slud - Nonresponse Weight Adjustment in the Census Bureau's Probability and Nonprobability Tracking Surveys

• Sakshi Soni - Estimation and Prediction for a Generalized Half Logistic Distribution Under Hybrid Censoring

• John Stufken - Factor Selection in Screening Experiments

• Jianping Sun - Identify Safety-Vaccine Association with Existence of Complex and High Dimensional Confounding

• Anmol Tahir - Identification of Factors & Their Relationship Which Influence Students’ Satisfaction with Cafeteria Food Service

• Anmol Tahir - Ratio-Product Type Difference-Cum Exponential Estimators to Estimate the Population Mean in the Presence of Non-Response and Measurement Error Using Single and Two Auxiliary Variables

• Xianming Tan - Statistical Consideration in Intelligent Ecological Momentary Assessment

• Jiurui Tang - Leveraging Auxiliary Information on Marginal Distributions for Handling Missing Values and Accounting for Survey Weights

• Ratan Thakur - Comparative Analysis of Artificial Neural Network Training Algorithms for the Prediction of Noise Level in the Industrial Zone of Lucknow

• Jarno Vanhatalo - A Gaussian Process Model and Bayesian Variable Selection for Mapping Function-Valued Quantitative Traits with Incomplete Phenotypic Data

• Priyanka Verma - Yoga, Meditation and Mental health well-being during Covid-19 pandemic

• Gajendra K. Vishwakarma - Effect of Measurement Errors under Additive Scramble Response on Sensitive Variable

• Amy Wagler - Rapid Multiplicity Adjustment for Independent or Dependent Chi-square Distributed Test Endpoints

• Hongzhi Wang - Lioness Algorithm for Finding Optimal Design of Experiments

• Minjie Wang - Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data

• Mark Daniel Ward - Applying Data Science Skills in Industry

• Sam Wiseman - Neural Text Generation by Splicing Nearest Neighbors

• Yichao Wu - Variable Selection for Global Fréchet Regression

• Qian Xiao - Connecting U-Type Designs Before and After Level Permutations and Expansions

• Yue Xing - On the Statistical Properties of Adversarial Robust Estimators

• Jason Xu - Advances in Optimization Methods for K-Means Clustering

• Xiaohuan Xue - A Note on Asymptotics of Estimators on Spheres

• George Yanev - Exponential and Hypoexponential Distributions: Some Characterizations

• Min Yang - On the Efficiency of Hybrid Testing-Modeling Approach for Binary Responses

• Uzma Yaqoob - Role of Socioeconomic and Parental Involvement Factors on Children Foundational Learning Skills: An Evidence from MICS (2017-18), Punjab, Pakistan

• Chang Yu - A Parametric Meta-Analysis Using Distribution for P-Values

• Joia Zhang - Mitigating Lack of Trust in Quantitative Randomized Response Techniques Models

• Qiong Zhang - Optimal Design for A/B Testing in the Presence of Covariates and Network Connection

• Yumin Zhang - The Designed Bootstrap for Causal Inference in Big Observational Data