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Using Multivariate Linear Regression for Biochemical Oxygen Demand Prediction in Waste Water. (arXiv:2209.14297v1 [q-bio.OT])

Model Specification in Mixed-Effects Models: A Focus on Random Effects. (arXiv:2209.14349v1 [stat.ME])

Generalized Kernel Regularized Least Squares. (arXiv:2209.14355v1 [stat.ML])

Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees. (arXiv:2209.14414v1 [stat.ML])

Minimax Optimal Kernel Operator Learning via Multilevel Training. (arXiv:2209.14430v1 [cs.LG])

GeONet: a neural operator for learning the Wasserstein geodesic. (arXiv:2209.14440v1 [cs.LG])

Using the Sinkhorn divergence in permutation tests for the multivariate two-sample problem. (arXiv:2209.14455v1 [math.ST])

Use of indicator functions to enumerate cross-array designs without direct product structure. (arXiv:2209.14477v1 [stat.ME])

Fast Inference for Quantile Regression with Millions of Observations. (arXiv:2209.14502v1 [econ.EM])

LapGM: A Multisequence MR Bias Correction and Normalization Model. (arXiv:2209.13619v1 [])

Multistate Models as a Framework for Estimand Specification in Clinical Trials of Complex Processes. (arXiv:2209.13658v1 [stat.ME])

A new method to construct high-dimensional copulas with Bernoulli and Coxian-2 distributions. (arXiv:2209.13675v1 [math.ST])

False Discovery Rate Adjustments for Average Significance Level Controlling Tests. (arXiv:2209.13686v1 [stat.ME])

A Doubly Optimistic Strategy for Safe Linear Bandits. (arXiv:2209.13694v1 [cs.LG])

Hamiltonian Adaptive Importance Sampling. (arXiv:2209.13716v1 [cs.LG])

Statistical limits of correlation detection in trees. (arXiv:2209.13723v1 [math.ST])

Multi-Stage Multi-Fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions. (arXiv:2209.13748v1 [stat.ME])

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model. (arXiv:2209.13762v1 [stat.ML])

Target Features Affect Visual Search, A Study of Eye Fixations. (arXiv:2209.13771v1 [cs.CV])

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