A General Weighted Block Ensemble Kalman Filter with Data-Driven Optimal Block-Width Selection

Data Integration of Non-Probability and Probability Samples Using Deep Generative Model

Predicting Average Daily Liveweight Gain in Grazing Cattle from Accelerometer-Derived Behaviour and Activity

Equilibrium Joining Strategies in a Two-Stage Service System with Priority Customers and Feedback

Modified Cholesky Decomposition-Based Localization in Ensemble Kalman Filter

Bayesian Inference for Independent Cluster Point Processes

Aggregating Conformal Prediction Sets via α-Allocation

Beyond Two Arms: Power-Optimized Adaptive Experiments

Online Generalized Boundary False Discovery Rate Control under Arbitrary Dependence via Closure Principle

Prediction of Global Warming Potential of Qilian Mountain Grassland Based on Ensemble Machine Learning

Graphical Regression with Shrinkage and Covariance Kernel

Tensor Decomposition-Based Neural Operator with Dynamic Mode Decomposition for Parameterized Time-Dependent Problems