Evaluation of a Split Flow Model for the Emergency Department. (arXiv:2202.00736v1 [stat.AP]) http://arxiv.org/abs/2202.00736
Lagrangian Manifold Monte Carlo on Monge Patches. (arXiv:2202.00755v1 [stat.ME]) http://arxiv.org/abs/2202.00755
Distributional Reinforcement Learning via Sinkhorn Iterations. (arXiv:2202.00769v1 [cs.LG]) http://arxiv.org/abs/2202.00769
Latent Class Analysis with Semi-parametric Proportional Hazards Submodel for Time-to-event Data. (arXiv:2202.00775v1 [stat.ME]) http://arxiv.org/abs/2202.00775
A discussion of measuring the top-1 percent most-highly cited publications: Quality and impact of Chinese papers. (arXiv:2202.00781v1 [cs.DL]) http://arxiv.org/abs/2202.00781
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation. (arXiv:2202.00792v1 [stat.CO]) http://arxiv.org/abs/2202.00792
Long-Horizon Return Predictability from Realized Volatility in Pure-Jump Point Processes. (arXiv:2202.00793v1 [econ.EM]) http://arxiv.org/abs/2202.00793
Impact of Information and Communication Technology on Individual Well-being. (arXiv:2202.00006v1 [econ.GN]) http://arxiv.org/abs/2202.00006
Impact of Gold Prices on Stock Exchange: An Empirical Case Study of Nepal. (arXiv:2202.00007v1 [econ.GN]) http://arxiv.org/abs/2202.00007
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. (arXiv:2202.00071v1 [cs.LG]) http://arxiv.org/abs/2202.00071
Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration. (arXiv:2202.00076v1 [stat.ML]) http://arxiv.org/abs/2202.00076
On solutions of the distributional Bellman equation. (arXiv:2202.00081v1 [stat.ML]) http://arxiv.org/abs/2202.00081
Reinforcement Learning with Heterogeneous Data: Estimation and Inference. (arXiv:2202.00088v1 [cs.LG]) http://arxiv.org/abs/2202.00088
A Cheap Bootstrap Method for Fast Inference. (arXiv:2202.00090v1 [stat.ME]) http://arxiv.org/abs/2202.00090
Deconfounded Representation Similarity for Comparison of Neural Networks. (arXiv:2202.00095v1 [stat.ML]) http://arxiv.org/abs/2202.00095
Calibration of P-values for calibration and for deviation of a subpopulation from the full population. (arXiv:2202.00100v1 [stat.ME]) http://arxiv.org/abs/2202.00100
Bootstrap Confidence Regions for Learned Feature Embeddings. (arXiv:2202.00180v1 [stat.CO]) http://arxiv.org/abs/2202.00180
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States. (arXiv:2201.12387v1 [stat.ME]) http://arxiv.org/abs/2201.12387
Causal Discovery with Heterogeneous Observational Data. (arXiv:2201.12392v1 [stat.ME]) http://arxiv.org/abs/2201.12392
A penalized complexity prior for deep Bayesian transfer learning with application to materials informatics. (arXiv:2201.12401v1 [stat.AP]) http://arxiv.org/abs/2201.12401
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