Free Energy Evaluation Using Marginalized Annealed Importance Sampling. (arXiv:2204.03784v1 [stat.ML]) http://arxiv.org/abs/2204.03784
Latent Trait Item Response Models for Continuous Responses. (arXiv:2204.03841v1 [stat.ME]) http://arxiv.org/abs/2204.03841
Uniformly Valid Inference Based on the Lasso in Linear Mixed Models. (arXiv:2204.03887v1 [stat.ME]) http://arxiv.org/abs/2204.03887
Tensor approximation of the self-diffusion matrix of tagged particle processes. (arXiv:2204.03943v1 [math.NA]) http://arxiv.org/abs/2204.03943
Minimum Sample Size Allocation in Stratified Sampling Under Constraints on Variance and Strata Sample Sizes. (arXiv:2204.04035v1 [math.ST]) http://arxiv.org/abs/2204.04035
Transformation cost spectrum for irregularly sampled time series. (arXiv:2204.04039v1 [stat.AP]) http://arxiv.org/abs/2204.04039
Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes. (arXiv:2204.04052v1 [stat.ME]) http://arxiv.org/abs/2204.04052
Statistical Model Criticism of Variational Auto-Encoders. (arXiv:2204.03030v1 [cs.LG]) http://arxiv.org/abs/2204.03030
Adaptive Bayesian Selection of Basis Functions for Functional Data via Stochastic Penalization. (arXiv:2204.03115v1 [stat.ME]) http://arxiv.org/abs/2204.03115
A proper scoring rule for minimum information copulas. (arXiv:2204.03118v1 [stat.ME]) http://arxiv.org/abs/2204.03118
A novel nonconvex, smooth-at-origin penalty for statistical learning. (arXiv:2204.03123v1 [stat.ML]) http://arxiv.org/abs/2204.03123
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors. (arXiv:2204.03145v1 [stat.AP]) http://arxiv.org/abs/2204.03145
A Modified Net Reclassification Improvement Statistic. (arXiv:2204.03146v1 [stat.ME]) http://arxiv.org/abs/2204.03146
Bayesian vector autoregressive analysis of macroeconomic and transport influences on urban traffic accidents. (arXiv:2204.03177v1 [stat.AP]) http://arxiv.org/abs/2204.03177
MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems. (arXiv:2204.03193v1 [stat.ML]) http://arxiv.org/abs/2204.03193
A Joint Learning Approach for Semi-supervised Neural Topic Modeling. (arXiv:2204.03208v1 [cs.IR]) http://arxiv.org/abs/2204.03208
Robust Model-based Inference for Non-Probability Samples. (arXiv:2204.03215v1 [stat.ME]) http://arxiv.org/abs/2204.03215
Double sampling and semiparametric methods for informatively missing data. (arXiv:2204.02432v1 [stat.ME]) http://arxiv.org/abs/2204.02432
Aggregating human judgment probabilistic predictions of COVID-19 transmission, burden, and preventative measures. (arXiv:2204.02466v1 [stat.AP]) http://arxiv.org/abs/2204.02466
Method of Winsorized Moments for Robust Fitting of Truncated and Censored Lognormal Distributions. (arXiv:2204.02477v1 [stat.ME]) http://arxiv.org/abs/2204.02477
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