arXiv Statistics @arxiv_stats@qoto.org

Improving conversion rate prediction via self-supervised pre-training in online advertising. (arXiv:2401.16432v1 [cs.IR]) http://arxiv.org/abs/2401.16432

The Hubbert diffusion process: Estimation via simulated annealing and variable neighborhood search procedures. Application to forecasting peak oil production. (arXiv:2401.16447v1 [stat.ME]) http://arxiv.org/abs/2401.16447

Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy. (arXiv:2401.16487v1 [physics.chem-ph]) http://arxiv.org/abs/2401.16487

Topological Detection of Phenomenological Bifurcations with Unreliable Kernel Densities. (arXiv:2401.16563v1 [math.AT]) http://arxiv.org/abs/2401.16563

Parallel Affine Transformation Tuning of Markov Chain Monte Carlo. (arXiv:2401.16567v1 [stat.ME]) http://arxiv.org/abs/2401.16567

Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons. (arXiv:2401.16571v1 [stat.ME]) http://arxiv.org/abs/2401.16571

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model. (arXiv:2401.16596v1 [stat.ME]) http://arxiv.org/abs/2401.16596

Probabilistic Context Neighborhood Model for Lattices. (arXiv:2401.16598v1 [stat.ME]) http://arxiv.org/abs/2401.16598

Learning a Gaussian Mixture for Sparsity Regularization in Inverse Problems. (arXiv:2401.16612v1 [stat.ML]) http://arxiv.org/abs/2401.16612

A constructive approach to selective risk control. (arXiv:2401.16651v1 [stat.ME]) http://arxiv.org/abs/2401.16651

New model for the decision-making and the game style in football. (arXiv:2401.15085v1 [stat.AP]) http://arxiv.org/abs/2401.15085

A note on the capacity of the binary perceptron. (arXiv:2401.15092v1 [math.PR]) http://arxiv.org/abs/2401.15092

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. (arXiv:2401.15122v1 [cs.LG]) http://arxiv.org/abs/2401.15122

FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking. (arXiv:2401.15139v1 [q-fin.PM]) http://arxiv.org/abs/2401.15139

A bivariate two-state Markov modulated Poisson process for failure modelling. (arXiv:2401.15225v1 [stat.ME]) http://arxiv.org/abs/2401.15225

Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. (arXiv:2401.15248v1 [cs.LG]) http://arxiv.org/abs/2401.15248

Testing the Exogeneity of Instrumental Variables and Regressors in Linear Regression Models Using Copulas. (arXiv:2401.15253v1 [stat.ME]) http://arxiv.org/abs/2401.15253

Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors. (arXiv:2401.15254v1 [stat.ML]) http://arxiv.org/abs/2401.15254

An Overview of Modern Machine Learning Methods for Effect Measure Modification Analyses in High-Dimensional Settings. (arXiv:2401.15257v1 [stat.AP]) http://arxiv.org/abs/2401.15257

Estimating lengths-of-stay of hospitalised COVID-19 patients using a non-parametric model: a case study in Galicia (Spain). (arXiv:2401.15259v1 [stat.ME]) http://arxiv.org/abs/2401.15259