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Deep Neural Network Classifier for Multi-dimensional Functional Data. (arXiv:2205.08592v1 [stat.ML]) arxiv.org/abs/2205.08592

Bayesian Discrete Conditional Transformation Models. (arXiv:2205.08594v1 [stat.ME]) arxiv.org/abs/2205.08594

Bagged Polynomial Regression and Neural Networks. (arXiv:2205.08609v1 [stat.ML]) arxiv.org/abs/2205.08609

Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility. (arXiv:2205.08627v1 [math.ST]) arxiv.org/abs/2205.08627

Classification as Direction Recovery: Improved Guarantees via Scale Invariance. (arXiv:2205.08633v1 [stat.ML]) arxiv.org/abs/2205.08633

Targeted learning: Towards a future informed by real-world evidence. (arXiv:2205.08643v1 [stat.AP]) arxiv.org/abs/2205.08643

A Note on the Chernoff Bound for Random Variables in the Unit Interval. (arXiv:2205.07880v1 [stat.ML]) arxiv.org/abs/2205.07880

Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows. (arXiv:2205.07918v1 [stat.ML]) arxiv.org/abs/2205.07918

Distributed Feature Selection for High-dimensional Additive Models. (arXiv:2205.07932v1 [cs.LG]) arxiv.org/abs/2205.07932

Mean-Field Nonparametric Estimation of Interacting Particle Systems. (arXiv:2205.07937v1 [math.ST]) arxiv.org/abs/2205.07937

binspp: An R Package for Bayesian Inference for Neyman-Scott Point Processes with Complex Inhomogeneity Structure. (arXiv:2205.07946v1 [stat.ME]) arxiv.org/abs/2205.07946

An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models. (arXiv:2205.07999v1 [stat.ML]) arxiv.org/abs/2205.07999

Causal influence, causal effects, and path analysis in the presence of intermediate confounding. (arXiv:2205.08000v1 [stat.ME]) arxiv.org/abs/2205.08000

The e-value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences. (arXiv:2205.08010v1 [math.ST]) arxiv.org/abs/2205.08010

$\mathscr{H}$-Consistency Estimation Error of Surrogate Loss Minimizers. (arXiv:2205.08017v1 [cs.LG]) arxiv.org/abs/2205.08017

Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding. (arXiv:2205.08030v1 [stat.ME]) arxiv.org/abs/2205.08030

Semiparametric Gaussian Copula Regression modeling for Mixed Data Types (SGCRM). (arXiv:2205.06868v1 [stat.ME]) arxiv.org/abs/2205.06868

A Huber loss-based super learner with applications to healthcare expenditures. (arXiv:2205.06870v1 [stat.ML]) arxiv.org/abs/2205.06870

Discovering underlying dynamics in time series of networks. (arXiv:2205.06877v1 [stat.ME]) arxiv.org/abs/2205.06877

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