arXiv Statistics @arxiv_stats@qoto.org

Differentially Private Conformal Prediction via Quantile Binary Search https://arxiv.org/abs/2507.12497 #stat.ME #stat.AP #stat.CO #stat.ML #cs.LG

Cross-World Assumption and Refining Prediction Intervals for Individual Treatment Effects https://arxiv.org/abs/2507.12581 #stat.ME #math.ST #stat.ML #stat.TH

A Bayesian Spatio-Temporal Model of Temperature- and Humidity-Related Mortality Using High-Resolution Climate Data https://arxiv.org/abs/2507.12643 #stat.AP

An Efficient Approach to Design Bayesian Platform Trials https://arxiv.org/abs/2507.12647 #stat.ME #math.ST #stat.TH

Physics constrained learning of stochastic characteristics https://arxiv.org/abs/2507.12661 #stat.ML #eess.SY #cs.LG #cs.SY

Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights https://arxiv.org/abs/2507.12686 #stat.ML #math.PR #math.ST #stat.TH #cs.LG

Self Balancing Neural Network: A Novel Method to Estimate Average Treatment Effect https://arxiv.org/abs/2507.12818 #stat.ML #cs.LG

Bayesian Modeling and Estimation of Linear Time-Variant Systems using Neural Networks and Gaussian Processes https://arxiv.org/abs/2507.12878 #stat.ML #cs.LG

Refining the Notion of No Anticipation in Difference-in-Differences Studies https://arxiv.org/abs/2507.12891 #stat.ME #econ.EM

Short-term CO2 emissions forecasting: insight from the Italian electricity market https://arxiv.org/abs/2507.12992 #stat.AP

Optimal estimators for threshold-based quality measures https://arxiv.org/abs/2507.08811 #math.ST #math.PR #stat.TH

Mapping Dengue Vulnerability in Recife, Brazil: Socioeconomic Insights from PCA and Robust Regression https://arxiv.org/abs/2507.08814 #q-bio.PE #stat.AP

Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood https://arxiv.org/abs/2507.08896 #stat.ME #stat.ML #cs.LG

Physics-informed machine learning: A mathematical framework with applications to time series forecasting https://arxiv.org/abs/2507.08906 #stat.ML #math.ST #stat.ME #stat.TH #cs.LG

Are Betting Markets Better than Polling in Predicting Political Elections? https://arxiv.org/abs/2507.08921 #stat.OT

The Bayesian Approach to Continual Learning: An Overview https://arxiv.org/abs/2507.08922 #stat.ML #cs.LG

Fixed-Confidence Multiple Change Point Identification under Bandit Feedback https://arxiv.org/abs/2507.08994 #stat.ML #cs.LG

Possibilistic inferential models: a review https://arxiv.org/abs/2507.09007 #math.ST #math.PR #stat.ME #stat.OT #stat.TH

Modeling Latent Underdispersion with Discrete Order Statistics https://arxiv.org/abs/2507.09032 #stat.ME

Hierarchical Bayesian Modeling of Total Column Ozone: Unraveling Equatorial Variability over Ethiopia Using Satellite Data and Multisource Covariates https://arxiv.org/abs/2507.09046 #stat.AP