arXiv Statistics @arxiv_stats@qoto.org

The Mathematics of Artificial Intelligence. (arXiv:2203.08890v1 [cs.LG]) http://arxiv.org/abs/2203.08890

Stochastic Simulation Uncertainty Analysis to Accelerate Flexible Biomanufacturing Process Development. (arXiv:2203.08980v1 [stat.ME]) http://arxiv.org/abs/2203.08980

Lorenz map, inequality ordering and curves based on multidimensional rearrangements. (arXiv:2203.09000v1 [econ.EM]) http://arxiv.org/abs/2203.09000

Kan Extensions in Data Science and Machine Learning. (arXiv:2203.09018v1 [cs.LG]) http://arxiv.org/abs/2203.09018

Sensitivity analysis in longitudinal clinical trials via distributional imputation. (arXiv:2203.09025v1 [stat.ME]) http://arxiv.org/abs/2203.09025

Evaluating Posterior Distributions by Selectively Breeding Prior Samples. (arXiv:2203.09077v1 [stat.CO]) http://arxiv.org/abs/2203.09077

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. (arXiv:2203.09082v1 [cs.LG]) http://arxiv.org/abs/2203.09082

ergm 4: Computational Improvements. (arXiv:2203.08198v1 [stat.CO]) http://arxiv.org/abs/2203.08198

On the dependence structure of the trade/no trade sequence of illiquid assets. (arXiv:2203.08223v1 [q-fin.ST]) http://arxiv.org/abs/2203.08223

Predicting Value at Risk for Cryptocurrencies Using Generalized Random Forests. (arXiv:2203.08224v1 [q-fin.ST]) http://arxiv.org/abs/2203.08224

Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. (arXiv:2203.08245v1 [cs.LG]) http://arxiv.org/abs/2203.08245

Wind energy forecasting with missing values within a fully conditional specification framework. (arXiv:2203.08252v1 [stat.AP]) http://arxiv.org/abs/2203.08252

Distributed Design for Causal Inferences on Big Observational Data. (arXiv:2203.08256v1 [stat.ME]) http://arxiv.org/abs/2203.08256

Doubly-Robust Dynamic Treatment Regimen Estimation for Binary Outcomes. (arXiv:2203.08269v1 [stat.ME]) http://arxiv.org/abs/2203.08269

Self-Distribution Distillation: Efficient Uncertainty Estimation. (arXiv:2203.08295v1 [cs.LG]) http://arxiv.org/abs/2203.08295

TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation. (arXiv:2203.08317v1 [stat.ML]) http://arxiv.org/abs/2203.08317

Redis for Market Monitoring. (arXiv:2203.08323v1 [stat.CO]) http://arxiv.org/abs/2203.08323

Quantitative Gaussian Approximation of Randomly Initialized Deep Neural Networks. (arXiv:2203.07379v1 [cs.LG]) http://arxiv.org/abs/2203.07379

Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation. (arXiv:2203.07391v1 [astro-ph.GA]) http://arxiv.org/abs/2203.07391

Respecting causality is all you need for training physics-informed neural networks. (arXiv:2203.07404v1 [cs.LG]) http://arxiv.org/abs/2203.07404