Estimation for partially linear additive spatial autoregressive model with covariate measurement errors and missing response variables under restricted conditions

A unified approach to Gaussian process modeling with qualitative and quantitative factors

An Online Change Point Detection Algorithm Based on Local Outlier Factor Weighted Mechanism

The Joint Law of the Terminal Value, Running Maximum and Running Minimum of a Scalar Diffusion Process with Time-Inhomogeneous Drift

Adaptive Closed Testing with E‑values for Simultaneous False Discovery Proportion Control

Privacy protection and statistical efficiency trade-off for federated learning

Covariance estimation for high-dimensional tensor data

High Dimensional Multigrid Ensemble Kalman Filter with Optimal Selection

Privacy-Protected Spatial Autoregressive Models with Applications

Fine-tuning diffusion processes with function approximations: a PDE learning approach

3D CT Image Segmentation Using the U-TES Framework

聚焦损失函数的深度聚类方法研究与展望

A Multi-Modal Bearing Fault Diagnosis Model Based on Multi-Scale Mamba Gating and Dynamic Low-Rank Multi-Head Cross Attention

Double-Penalty Supervised AutoEncoder and Its Extension in Mixed-Frequency Processing: An Optimal Dimensional Reducer for Stock Returns Forecasting?

基于异质注意力图神经网络的中国股市高频交易量预测研究

住房反向抵押保险定价机制优化研究

基于组合机器学习模型的我国长期护理保险产品定价策略

A Nudging-based Ocean Data Assimilation System Using Blocked Ensemble Kalman Filter with Multiple Inflation

人工智能的职业替代风险研究 ——基于XGBoost-SHAP的多维特征非线性效应分析