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Adaptive Modeling Procedure Selection by Data Perturbation
Yongli Zhang,
Xiaotong Shen
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
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Dive into the research topics of 'Adaptive Modeling Procedure Selection by Data Perturbation'. Together they form a unique fingerprint.
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Business & Economics
Model Selection
100%
Perturbation
74%
Uncertainty Modeling
71%
Perturbation Method
51%
Modeling
38%
Numerical Analysis
25%
Economic Area
20%
Price Forecasting
20%
Parameter Estimation
19%
Process Modeling
18%
Commodity Markets
17%
Linear Regression
17%
Theoretical Analysis
16%
Selection Process
16%
Prediction
13%
Competitors
12%
Integrated
9%
Factors
5%
Mathematics
Data Perturbation
98%
Selection Procedures
73%
Uncertainty Modeling
49%
Model Selection
43%
Modeling
42%
Perturbation Method
24%
Optimal Prediction
16%
Perturbation
15%
Process Modeling
14%
Forecasting
12%
Business
11%
Market
11%
Linear regression
10%
Theoretical Analysis
10%
Numerical Analysis
10%
Parameter Estimation
9%
Economics
9%
High-dimensional
8%
Evaluate
8%
Distinct
7%
Context
6%
Estimate
5%
Model
3%
Social Sciences
selection procedure
83%
uncertainty
16%
commodity market
11%
economic area
10%
regression
4%