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统计方法是指有关收集、整理、分析和解释统计数据，并对其所反映的问题作出一定结论的方法。统计方法是一种从微观结构上来研究物质的宏观性质及其规律的独特的方法。
The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects
The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects
Arxiv
0+阅读 · 4月3日
Estimation of the complier causal hazard ratio under dependent censoring
Arxiv
0+阅读 · 4月2日
Universal Log-Optimality for General Classes of e-processes and Sequential Hypothesis Tests
Arxiv
0+阅读 · 4月3日
Testing independence and conditional independence in high dimensions via coordinatewise Gaussianization
Testing independence and conditional independence in high dimensions via coordinatewise Gaussianization
Arxiv
0+阅读 · 4月3日
Adaptive Student's t-distribution with method of moments moving estimator for nonstationary time series
Adaptive Student's t-distribution with method of moments moving estimator for nonstationary time series
Arxiv
0+阅读 · 4月3日
Comparative Review of Modern Competing Risk Methods in High-dimensional Settings
Arxiv
0+阅读 · 4月2日
Semiparametric Counterfactual Regression
Semiparametric Counterfactual Regression
Arxiv
0+阅读 · 4月3日
Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
Arxiv
0+阅读 · 4月3日
Impact of Global Warming on Extreme Rainfall in Taiwan
Arxiv
0+阅读 · 4月3日
BRcal: An R Package to Boldness-Recalibrate Probability Predictions
Arxiv
0+阅读 · 4月2日
Bayesian Covariate-Dependent Graph Learning with a Dual Group Spike-and-Slab Prior
Arxiv
0+阅读 · 4月3日
A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model
A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model
Arxiv
0+阅读 · 4月3日
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
Arxiv
0+阅读 · 4月3日
Exceedance and force of centrality for functional data
Arxiv
0+阅读 · 4月3日
Proximal Causal Inference for Conditional Separable Effects
Proximal Causal Inference for Conditional Separable Effects
Arxiv
0+阅读 · 4月3日
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