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Statistical modeling for nonstationary time series and functional time series with dynamical periodic structures and covariate effects
鄭明燕, Ming-Yen
(PI)
Department of Mathematics
Project
:
Research project
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
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Mathematics
Covariates
100%
Time series
73%
Trends
70%
Change Point
53%
Periodic Sequence
44%
Unknown
30%
Functional Data
28%
Estimate
27%
B-spline
24%
Global Warming
19%
Climate Change
18%
Cardiovascular Disease
17%
Non-stationary Time Series
16%
Simulation Study
16%
Penalized Least Squares
15%
Time Change
15%
China
14%
Periodic Structures
14%
Segmentation
14%
Statistical Modeling
14%
Least Square Method
12%
Periodicity
11%
Life
10%
Asymptotic Properties
10%
Vary
10%
Entire
10%
Prediction
9%
Influence
9%
Binary
8%
Necessary
7%
Model
7%
Decompose
7%
Demonstrate
7%
Performance
7%
Term
6%