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SEMMS with Random Effects: A Mixed-模型 (Model) Extension for Variable Selection in Clustered and Long...
SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudi...
👁 360 📚 5
Time Partitioning in Target Trial Emulation
👁 210 📚 23
Power 分析 (Analysis) for 预测 (Prediction)-Powered 推断 (Inference)
Power Analysis for Prediction-Powered Inference
👁 32 📚 24
Deep Adaptive 模型 (Model)-Based Design of Experiments
Deep Adaptive Model-Based Design of Experiments
👁 430 📚 43
Equivalence testing with data-dependent and post-hoc equivalence margins
👁 95 📚 4
A flexible wrapped Lindley-type distribution for angular data modelling
👁 238 📚 49
A nonparametric approach to understand multivariate quantile dynamics in financial time series
👁 139 📚 8
估计 (Estimation) and Hypothesis Testing of Fixed Effects 模型 (Model)s-Based Uncertainty for Factor Des...
Estimation and Hypothesis Testing of Fixed Effects Models-Based Uncertainty for Factor Designs
👁 124 📚 18
Semiparametric 推断 (Inference) under Dual Positivity Boundaries:Nested Identification with Administra...
Semiparametric Inference under Dual Positivity Boundaries:Nested Identification with Administrative ...
👁 72 📚 21
Synthetic Control Misconceptions: Recommendations for Practice
👁 395 📚 26
Minimizing Type 2 Errors in an Experiment-Rich Regime via Optimal Resource Allocation
👁 163 📚 45
Improving RCT-Based CATE 估计 (Estimation) Under Covariate Mismatch via Double Calibration
Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
👁 38 📚 15
Topological inference on brain networks with application to lesion symptom mapping
👁 100 📚 29
Difference-Based High-Dimensional Long-Run Covariance Matrix 估计 (Estimation) for Mean-shift Time Ser...
Difference-Based High-Dimensional Long-Run Covariance Matrix Estimation for Mean-shift Time Series
👁 217 📚 27
Transmuted logistic-exponential distribution - some new properties, estimation methods and applicati...
👁 261 📚 29
Wasserstein-type Gaussian Process 回归 (Regression)s for Input Measurement Uncertainty
Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
👁 335 📚 38
Classifier Pooling for Modern Ordinal 分类 (Classification)
Classifier Pooling for Modern Ordinal Classification
👁 86 📚 5
贝叶斯 (Bayesian) Scalar-on-Tensor Quantile 回归 (Regression) for Longitudinal 数据 (Data) on Alzheimer's D...
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
👁 43 📚 21