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Testing for independence in high dimensions based on empirical copulas. (arXiv:2204.01803v1 [math.ST]) arxiv.org/abs/2204.01803

An adaptive model checking test for functional linear model. (arXiv:2204.01831v1 [stat.ME]) arxiv.org/abs/2204.01831

Probabilistic Embeddings with Laplacian Graph Priors. (arXiv:2204.01846v1 [cs.CL]) arxiv.org/abs/2204.01846

Policy Learning with Competing Agents. (arXiv:2204.01884v1 [stat.ML]) arxiv.org/abs/2204.01884

Hybrid Probabilistic-Snowball Sampling. (arXiv:2204.01887v1 [stat.CO]) arxiv.org/abs/2204.01887

Prediction Intervals for Simulation Metamodeling. (arXiv:2204.01904v1 [stat.ME]) arxiv.org/abs/2204.01904

Almost-Linear Planted Cliques Elude the Metropolis Process. (arXiv:2204.01911v1 [cs.DS]) arxiv.org/abs/2204.01911

Nonlocal optimization of binary neural networks. (arXiv:2204.01935v1 [cs.LG]) arxiv.org/abs/2204.01935

Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling. (arXiv:2204.00651v1 [stat.AP]) arxiv.org/abs/2204.00651

Assimilation of Satellite Active Fires Data. (arXiv:2204.00686v1 [cs.LG]) arxiv.org/abs/2204.00686

Asymptotic normality of the least sum of squares of trimmed residuals estimator. (arXiv:2204.00700v1 [math.ST]) arxiv.org/abs/2204.00700

Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. (arXiv:2204.00706v1 [cs.LG]) arxiv.org/abs/2204.00706

Path Development Network with Finite-dimensional Lie Group Representation. (arXiv:2204.00740v1 [cs.LG]) arxiv.org/abs/2204.00740

Variational message passing for online polynomial NARMAX identification. (arXiv:2204.00769v1 [stat.ML]) arxiv.org/abs/2204.00769

A Generalized Family of Exponentiated Composite Distributions. (arXiv:2204.00774v1 [stat.ME]) arxiv.org/abs/2204.00774

Distributional Gradient Boosting Machines. (arXiv:2204.00778v1 [stat.ML]) arxiv.org/abs/2204.00778

Robust Estimation of Conditional Factor Models. (arXiv:2204.00801v1 [econ.EM]) arxiv.org/abs/2204.00801

Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. (arXiv:2204.00032v1 [cs.CR]) arxiv.org/abs/2204.00032

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