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查看斯高帕斯 (Scopus) 概要
王 紹宣
助理教授
統計研究所
電子郵件
picowang
gmail
com
網站
https://www.dropbox.com/s/dxm5agmxcb258xr/cv_Wang.pdf?dl=0
h-index
31
引文
3
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2009
2025
每年研究成果
概覽
指紋
網路
研究計畫
(6)
研究成果
(12)
資料集
(2)
類似的個人檔案
(6)
指紋
查看啟用 Shao-Hsuan Wang 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Asymptotic Normality
72%
Hazard Regression
64%
Single Index
59%
Matrix-based
58%
Data Matrix
58%
Principal Coordinate Analysis (PCoA)
38%
DNA Palindrome
38%
Palindrome
38%
Correlation Estimation
38%
Left-truncated
38%
Full Conditional Distribution
38%
Partial Rank Correlation Coefficient
38%
Edgeworth Expansion
38%
Random Weighting
38%
Time-dependent AUC
38%
Bias Reduction
38%
Variance Reduction
38%
Nonparametric Estimation
38%
High Dimension Low Sample Size
38%
Nonparametric
38%
Graph Representation
38%
Accuracy Measure
38%
Right-censored Survival Data
38%
Estimation Approaches
38%
Sufficient Dimension Reduction
38%
Frequency of Occurrence
38%
Finite Sample Bias
32%
Bandwidth Selection
32%
Survival Process
32%
Index Coefficients
32%
Ratio Set
29%
Model Formulation
27%
Censoring Rate
25%
Random Weighted Bootstrap
25%
Survival Data
25%
Regression Model
25%
Proposed Methodology
25%
Cryogenic Electron Microscopy
24%
High Dimension
21%
Contrastive Principal Component Analysis
19%
Geometric Algorithms
19%
Dynamic Reconstruction
19%
Survival Function
19%
Time-dependent Covariates
19%
Satisfactory Performance
19%
Data Bandwidth
19%
General Applicability
19%
Automatic Bandwidth
19%
Asymptotic Properties of Estimators
19%
Inference Methods
19%
Mathematics
Asymptotic Normality
100%
Covariate
96%
Survival Data
77%
Model Formulation
77%
Principal Component Analysis
77%
Higher Dimensions
59%
Matrix (Mathematics)
58%
Graphical Representation
38%
Conditional Distribution
38%
Asymptotic Property of Estimators
38%
Inference Procedure
38%
Survival Function
38%
Type Estimator
38%
Occurrence Rate
38%
Spearman's Coefficient
38%
Empirical Illustration
38%
Probability Function
38%
Bias Reduction
38%
Variance Reduction
38%
Nonparametric Estimation
38%
Edgeworth Expansion
38%
Likelihood Approach
38%
Optimality
38%
Estimation Approach
38%
Outer Product
38%
Polynomial
38%
Bayesian Information Criterion
38%
Probability Theory
29%
Nearest Neighbor
25%
Regression Model
19%
Random Vector
19%
Truncation
19%
Probability Distribution
19%
Perturbation Theory
19%
Scan Statistics
12%
Asymptotic Variance
12%
Interval Estimator
12%
Parametric Estimator
12%
Remainder Term
12%
Confidence Region
12%
Sampling Distribution
12%
Confidence Interval
12%
Probability of Coverage
12%
Numerical Analysis
12%
Asymptotic Property
12%
Approximates
12%
Characteristic Curve
12%
Null
12%
Eigenvalue
11%
Numerical Example
10%
