Calibration for Computer Models with Time-Varying Parameter

Large-Scale Metric Objects Filtering for Binary Classification

Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with MAR Missing Data

A Novel Integration Method for Single Cell Transcriptomics and Proteomics Data Based on Transformer 基于Transformer的单细胞转录组学与蛋白质组学数据新型整合方法

Estimation of Spatial Weight Matrix in Spatial Error Autocorrelation Models with Non-zero Autocorrelation Random Perturbations 具有非零自协方差随机扰动的空间误差自相关模型中的空间权重矩阵的估计

A New Model Free High-Dimensional Variable Selection Method 一种新的免模型高维变量选择方法

Probabilistic Embedding, Clustering, and Alignment for Integrating Spatial Transcriptomics Data with PRECAST

Local False Discovery Rate Estimation with Competition-Based Procedures for Variable Selection

Placebo Tests for Difference-in-Differences

Tobit Models for Count Time Series

Construction and Application of Quantile Factor Augmented Quantile Regression Neural Network Model

Hypothesis Testing for the Deep Cox Model

Testing Causal Effects in Observational Survival Data using Propensity Score Matching Design

Combining Dimensionality Reduction Methods with Neural Networks for Realized Volatility Forecasting

Bayesian Optimization with Pareto-Principled Training for Economical Hyperparameter Optimization

A Unified EM Framework for Estimation and Inference of Normal Ogive Item Response Models

A Spatial-Temporal Graph Neural Network Model for Multi-tite Temperature Forecasting

Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph