arXiv Statistics @arxiv_stats@qoto.org

Long-Term Spatio-Temporal Forecasting of Monthly Rainfall in West Bengal Using Ensemble Learning Approaches https://arxiv.org/abs/2510.13927 #stat.AP #cs.LG

Earthquake Forecasting with ETAS.inlabru https://arxiv.org/abs/2510.13930 #stat.AP

Bayesian Inference for Single-factor Graphical Models https://arxiv.org/abs/2510.13981 #stat.ME

Robust extrapolation problem for random processes with stationary increments https://arxiv.org/abs/2510.14003 #math.ST #stat.TH

A Data-Parsimonious Model for Long-Term Risk Assessments of West Nile Virus Spillover https://arxiv.org/abs/2510.14011 #stat.AP

Filtering Problem for Random Processes with Stationary Increments https://arxiv.org/abs/2510.14023 #math.ST #stat.TH

Minimax Estimation for Periodically Correlated Stochastic Processes https://arxiv.org/abs/2510.14033 #math.ST #stat.TH

Joint modeling and inference of multiple-subject high-dimensional sparse vector autoregressive models https://arxiv.org/abs/2510.14044 #stat.ME

Minimum Hellinger Distance Estimators for Complex Survey Designs https://arxiv.org/abs/2510.14055 #math.ST #math.IT #math.PR #stat.TH #cs.IT

Exact Dynamics of Multi-class Stochastic Gradient Descent https://arxiv.org/abs/2510.14074 #stat.ML #math.OC #math.PR #cs.LG

Efficient Inference for Coupled Hidden Markov Models in Continuous Time and Discrete Space https://arxiv.org/abs/2510.12916 #stat.ML #cs.LG

Escaping Neal's Funnel: a multi-stage sampling method for hierarchical models https://arxiv.org/abs/2510.12917 #stat.ME #stat.CO

Random Modulation with Spherical Symmetry https://arxiv.org/abs/2510.12928 #math.ST #math.PR #stat.TH

Trajectory-based real-time pedestrian crash prediction at intersections: A novel non-linear link function for block maxima led Bayesian GEV framework addressing heterogeneous traffic condition https://arxiv.org/abs/2510.12963 #physics.soc-ph #stat.AP #stat.ME

Simplicial Gaussian Models: Representation and Inference https://arxiv.org/abs/2510.12983 #stat.ML #eess.SP #stat.ME #cs.LG

Surrogate Models to Predict Wave Hydrodynamics on Evolving Landscapes https://arxiv.org/abs/2510.12986 #stat.AP

Learning Shared and Source-specific Subspaces across Multiple Data Sources for Functional Data https://arxiv.org/abs/2510.13010 #stat.ME

Conformal Inference for Open-Set and Imbalanced Classification https://arxiv.org/abs/2510.13037 #stat.ML #cs.LG

A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection https://arxiv.org/abs/2510.13093 #stat.ML #cs.AI #cs.LG

Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach https://arxiv.org/abs/2510.13094 #stat.ML #cs.LG