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Inference for modulated stationary processes
Zhibiao Zhao
, Xiaoye Li
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Article
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peer-review
12
Scopus citations
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Dive into the research topics of 'Inference for modulated stationary processes'. Together they form a unique fingerprint.
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Keyphrases
Stationary Process
100%
Self-normalization
100%
Self-normalized
50%
Growth Rate
25%
Monte Carlo Simulation Study
25%
Proposed Methodology
25%
Statistical Inference
25%
Precipitation Rate
25%
Non-stationarity
25%
Normalization Method
25%
Stationarity
25%
Mean Annual Precipitation
25%
Central Limit Theorem
25%
Seoul
25%
Long-run Variance Estimation
25%
Gross National Product
25%
Wild Bootstrap
25%
Locally Stationary Time Series
25%
Inference Problem
25%
Change-point Problem
25%
Product Growth
25%
Cumulative Sum Test
25%
Mathematics
Stationarity
100%
Variance
50%
Monte Carlo
50%
Simulation Study
50%
Bootstrapping
50%
Inferential Statistics
50%
Real Data
50%
Central Limit Theorem
50%
Variance Estimation
50%
Stationary Time Series
50%
Cumulative Sum
50%
Computer Science
Monte Carlo Simulation
100%
Simulation Study
100%
Real Data Sets
100%
Unknown Parameter
100%
Statistical Study
100%
Estimation Variance
100%
Engineering
Stationarity
100%
Real Data
50%
Statistical Study
50%