arXiv Statistics @arxiv_stats@qoto.org

Causal Inference with Outcomes Truncated by Death and Missing Not at Random https://arxiv.org/abs/2406.10554 #stat.ME #stat.AP

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior https://arxiv.org/abs/2406.09513 #stat.ML #eess.SP #cs.LG

Causal Fine-Tuning and Effect Calibration of Non-Causal Predictive Models https://arxiv.org/abs/2406.09567 #stat.ML #cs.LG

Ridge Regression for Paired Comparisons: A Tractable New Approach, with Application to Premier League Football https://arxiv.org/abs/2406.09597 #stat.ME #stat.AP

Time Series Forecasting with Many Predictors https://arxiv.org/abs/2406.09625 #stat.ME

New algorithms for sampling and diffusion models https://arxiv.org/abs/2406.09665 #math.ST #math.OC #math.PR #stat.ML #stat.TH

An Efficient Approach to Regression Problems with Tensor Neural Networks https://arxiv.org/abs/2406.09694 #stat.ML #cs.LG

Large language model validity via enhanced conformal prediction methods https://arxiv.org/abs/2406.09714 #stat.ML #stat.ME #cs.LG

Stable network inference in high-dimensional graphical model using single-linkage https://arxiv.org/abs/2406.09865 #math.ST #stat.TH

Split-Apply-Combine with Dynamic Grouping https://arxiv.org/abs/2406.09887 #stat.CO #stat.AP

Lasso Multinomial Performance Indicators for in-play Basketball Data https://arxiv.org/abs/2406.09895 #stat.AP

Empirical Evidence That There Is No Such Thing As A Validated Prediction Model https://arxiv.org/abs/2406.08628 #stat.ME

Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization https://arxiv.org/abs/2406.08654 #stat.ML #math.OC #cs.LG

Pruning is Optimal for Learning Sparse Features in High-Dimensions https://arxiv.org/abs/2406.08658 #stat.ML #cs.LG

Causal Inference on Missing Exposure via Robust Estimation https://arxiv.org/abs/2406.08668 #stat.ME

Variational Bayes Inference for Spatial Error Models with Missing Data https://arxiv.org/abs/2406.08685 #stat.ME

Orthogonalized Estimation of Difference of $Q$-functions https://arxiv.org/abs/2406.08697 #stat.ML #math.OC #stat.ME #cs.LG

Relative belief inferences from decision theory https://arxiv.org/abs/2406.08732 #math.ST #stat.TH

Volatility Forecasting Using Similarity-based Parameter Correction and Aggregated Shock Information https://arxiv.org/abs/2406.08738 #stat.AP #stat.ME

Learning Joint and Individual Structure in Network Data with Covariates https://arxiv.org/abs/2406.08776 #stat.ME #stat.ML