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Selection and Analysis of U.S. Election Forecasting Models
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NORMALIZATION OF RNA DEGRADATION IN RNA-SEQ DATA
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Inference in heterogeneous networks
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Topics of Variable Selection in Biomedical Data Mining
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Design and Analysis of Trials for Developing Adaptive Treatment Strategies in Complex Clustered Settings
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Utilizing External Information about the Covariance Structure in Experiments with Clustering
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Bayesian Inference with Mixtures of Logistic Regression: Functional Approximation, Statistical Consistency and Algorithmic Convergence
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Synthetic Bias Estimation in Small Area Estimation
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Improved Estimation of the Proportion of True Null Hypotheses with Applications to Adaptive Control of FDR and Drug Screening
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Small Dispersion Asymptotics in Stratified Models
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On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Processes
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Applications of Statistical Language Models in Complex Network Community Detection and Definition Modeling
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A Novel Parallel Adaptive Survivor Selection Framework for Large-Scale Simulation Optimization
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Risk Prediction with Longitudinal Gene Expression Data Using Statistical and Machine Learning Method
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Essay on Foundation Models and Reinforcement Learning
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Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Learning
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A Hybrid Physics-Based And Data-Driven Modeling Framework For Energy And Water Use Analysis Of Data Centers With Spatio-Temporal Resolution
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Stochastic Noise in Gene Expression Impacts Developmental Self-organization
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Subgroup Identification in Longitudinal Studies
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Sequential Change-point Detection for Time Series
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