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查看斯高帕斯 (Scopus) 概要
陳 春樹
教授, 統計研究所所長
統計研究所
https://orcid.org/0000-0003-2258-8397
電子郵件
cschen1207
ncu.edu
tw
網站
https://cis.ncu.edu.tw/iTeacher/home/0x3a5e288a40592b87009fc18adf0e93a0
h-index
520
引文
6
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。
2004
2024
每年研究成果
概覽
指紋
網路
研究計畫
(2)
研究成果
(31)
類似的個人檔案
(6)
指紋
查看啟用 Chun-Shu Chen 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
Model Selection
100%
Geostatistical Model
49%
Model Averaging
48%
Spatial Predictors
46%
Regression Model
46%
Spatial Prediction
45%
Simulation Study
42%
Right-censored Data
42%
Akaike Information Criterion
40%
Information Criteria
37%
Stein's Unbiased Risk Estimate
36%
Parameter Estimation
32%
Spatial Confounding
31%
Selection Criteria
31%
Regression Coefficient
30%
Geostatistics
30%
Popular
28%
Bayesian Information Criterion
28%
Two-sample Problem
28%
Spline Smoothing
28%
Survival Function
28%
Cox Model
28%
Autoregressive Model
28%
Response Variable
27%
Statistical Inference
27%
Data Perturbation
25%
Perturbation Method
25%
Distribution-free
24%
Proposed Methodology
23%
Smoothing Parameter
23%
Unbiased Estimator
23%
Variables of Interest
22%
Smoothing Spline
21%
Spatial Dependence
21%
Adjusting Parameters
21%
Local Model
21%
Numerical Experiments
21%
Taiwan
20%
Prediction Method
19%
Mean Squared Prediction Error
19%
Spatial Regression
18%
Order Parameter
18%
Order Selection
18%
Earthquake
18%
Missingness
17%
Model Selection Criteria
16%
Criteria-based
16%
Count Response
16%
Spatial Variables
16%
FoF2
16%
Mathematics
Model Selection
94%
Regression Model
64%
Spline
63%
Covariate
62%
Akaike Information Criterion
51%
Conditionals
47%
Autoregressive Model
43%
Censored Data
42%
Response Variable
36%
Real Data
32%
Bayesian Information Criterion
32%
Simulation Study
32%
Inferential Statistics
32%
Confounding
31%
Information Criterion
30%
Sample Problem
28%
Proportional Hazards Model
28%
Spatial Correlation
28%
Superiority
27%
Squared Prediction Error
26%
Survival Function
23%
Correlation Structure
22%
Regression Coefficient
22%
Probability Theory
21%
Numerical Experiment
21%
Degree of Freedom
21%
Parameter Estimation
18%
Missingness
18%
Explanatory Variable
17%
Unbiased Estimator
17%
Optimality
16%
Asymptotics
16%
Count Data
16%
Estimation Method
16%
Dependent Data
16%
Prediction Method
15%
Misspecified Model
14%
Select Variable
14%
Prediction Variance
14%
Resampling Method
14%
Spatial Variation
14%
Modeling Approach
14%
Joint Modeling
14%
Median
14%
Spatial Variable
14%
Estimated Model Parameter
14%
Rare Event
14%
Longitudinal Data
14%
Linear Regression Analysis
14%
Markov Chain Monte Carlo
14%