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Selection and Analysis of U.S. Election Forecasting Models
NORMALIZATION OF RNA DEGRADATION IN RNA-SEQ DATA
Inference in heterogeneous networks
Topics of Variable Selection in Biomedical Data Mining
Design and Analysis of Trials for Developing Adaptive Treatment Strategies in Complex ...
Utilizing External Information about the Covariance Structure in Experiments with Clus...
Bayesian Inference with Mixtures of Logistic Regression: Functional Approximation, Sta...
Synthetic Bias Estimation in Small Area Estimation
Improved Estimation of the Proportion of True Null Hypotheses with Applications to Ada...
Small Dispersion Asymptotics in Stratified Models
On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Pr...
Applications of Statistical Language Models in Complex Network Community Detection and...
A Novel Parallel Adaptive Survivor Selection Framework for Large-Scale Simulation Opti...
Risk Prediction with Longitudinal Gene Expression Data Using Statistical and Machine L...
Essay on Foundation Models and Reinforcement Learning
Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Le...
A Hybrid Physics-Based And Data-Driven Modeling Framework For Energy And Water Use An...
Stochastic Noise in Gene Expression Impacts Developmental Self-organization
Subgroup Identification in Longitudinal Studies
Sequential Change-point Detection for Time Series
Essays on the Sociological Analysis of Segregation and Natural Language
Variable Selection for High Dimensional Compositional Data with Application in Metagen...
Prediction of CRISPR-Cas9 Cleavage Efficiency Through Markov Feature Engineering and B...
Embedding a Randomized Experiment Within a Regression Discontinuity Design: A Meta-Ana...
Statistical Methods for Assessing Replication: A Meta-Analytic Framework
Topics in Statistical Modeling for Unstructured Text Data with Application to Commonse...
Topics in Microbiome Data Analysis: Normalization and Differential Abundance Test and ...
Multidisciplinary and Dynamic Decisions in Simulation-Based Design
Quantification of Microstructure Induced Uncertainty in Multiscale Materials with Rand...
Spatial and Temporal Methods to Analyze the Malaria Burden using Routine Health Facili...
Space-Filling Designed Sampling from Databases
Methods for Multi-Objective Genetic Clustering of Time-Evolving Data
The Impact of Entity Resolution on Observed Social Network Structure
Investigation of diffusion of innovations among homogeneous professional groups
Interpretable Machine Learning with Applications to Computational Materials Science
Fisher Score-Based Concept Drift Monitoring and Diagnosis with Applications to Microst...
Several New Advances for Gaussian Process Models
Experimental Design for the Study of Treatment Effect Heterogeneity in Education Research
Comparative analysis of feature selection and classification methods for epigenetic me...
The Impact of Entity Resolution on Observed Social Network Structure
Statistical methods for the network-based analysis of genomic data
Methods for Synthesizing and Translating Statistical Evidence in Education
Estimating Network Metrics via Random Walk Sampling
Efficient Estimation with Smooth Penalization
Ensembling and Data Selection for Neural Language Models, and Analysis of F-measure
Statistical Methods for Policy-Relevant Questions in Health and Criminology
Data Centric Design for Microstructural Materials Systems
Topics in Meta-analysis with Few Studies
Reliably Accelerated Literature Screening in Systematic Review and Meta-Analysis and O...
Adaptive Computer Experiments for Metamodeling
Spatial Statistics Analysis with Artificial Neural Network