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估计从一组断面样本中取样的缺失质量、分区功能或证据
Estimating the Missing Mass, Partition Function or Evidence for a Case of Sampling from a Discrete S...
👁 440 📚 43
斯泰因瞬间方法的几何:通过分数比对来进行犬形分解
The geometry of Stein's method of moments: A canonical decomposition via score matching
👁 62 📚 5
Upper Bounds for Local 学习 (Learning) Coefficients of Three-Layer 神经网络 (Neural Network)s
Upper Bounds for Local Learning Coefficients of Three-Layer Neural Networks
👁 230 📚 36
贝叶斯 (Bayesian) multilevel step-and-turn models for evaluating player movement in American football
Bayesian multilevel step-and-turn models for evaluating player movement in American football
👁 301 📚 42
手术后癌症检测分化
Bivariate deconvolution for cancer detection after surgery
👁 311 📚 36
Transfer 学习 (Learning) for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
👁 221 📚 46
More with Less - Bethel Allocation and Precision-Preserving Sample Size Reduction via Hierarchical B...
More with Less - Bethel Allocation and Precision-Preserving Sample Size Reduction via Hierarchical B...
👁 157 📚 43
预测 (Prediction) with Missing 数据 (Data): Target Probabilities and Missingness Mechanisms
Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
👁 455 📚 43
确定气候群落中极端降水事件特征的轻度框架
A lightweight framework for characterising extreme precipitation events in climate ensembles
👁 51 📚 10
快速可伸缩推论 隐藏的马尔可夫模型与高斯地
Fast and scalable inference in hidden Markov models with Gaussian fields
👁 140 📚 23
Algorithms for 模型 (Model)s with Intractable Normalizing Functions
Algorithms for Models with Intractable Normalizing Functions
👁 271 📚 49
Empirical Likelihood 推断 (Inference) for Sen and Sen--Shorrocks--Thon Indices
Empirical Likelihood Inference for Sen and Sen--Shorrocks--Thon Indices
👁 109 📚 32
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
👁 60 📚 21
Classifier Pooling for Modern Ordinal 分类 (Classification)
Classifier Pooling for Modern Ordinal Classification
👁 101 📚 5
Wasserstein-type Gaussian Process 回归 (Regression)s for Input Measurement Uncertainty
Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
👁 350 📚 38
传导的后勤-责任分布 -- -- 一些新的特性、估计方法以及传染病死亡率数据的应用
Transmuted logistic-exponential distribution - some new properties, estimation methods and applicati...
👁 277 📚 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
👁 233 📚 27
对大脑网络的地形推论,并应用于损伤症状绘图
Topological inference on brain networks with application to lesion symptom mapping
👁 116 📚 29
Improving RCT-Based CATE 估计 (Estimation) Under Covariate Mismatch via Double Calibration
Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
👁 54 📚 15
通过优化资源分配,尽量减少实验-Rich制度中的2型错误
Minimizing Type 2 Errors in an Experiment-Rich Regime via Optimal Resource Allocation
👁 181 📚 45
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