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Displaying 1 - 4 of 4
New methods and models in functional data analysis
Author: Sang, Peijun
Date created: 2018-07-23
Development of functional principal components analysis and estimating the time-varying gene regulation network
Author: Nie, Yunlong
Date created: 2018-09-27
Unsupervised learning on functional data with an application to the analysis of U.S. temperature prediction accuracy
Author: Lin, Chuyuan
Date created: 2019-02-07
Some perspectives of smooth and locally sparse estimators
Author: Lin, Zhenhua
Date created: 2013-07-15

Date created

Resource type

  • Graduating extended essay / Research project (2)
  • Thesis (2)

Collection

  • Statistics and Actuarial Science Theses (4)

Scholarly level

  • Graduate student (Masters) (2)
  • Graduate student (PhD) (2)

Author

  • Lin, Chuyuan (1)
  • Lin, Zhenhua (1)
  • Nie, Yunlong (1)
  • Sang, Peijun (1)

Thesis Advisor

  • Cao, Jiguo (2)

Peer reviewed?

No options apply.

Keywords

  • (-) Functional principal component analysis (4)
  • Functional data analysis (3)
  • Weather Forecast Exploratory Analysis (1)
  • Unsupervised Random Forest (1)
  • Time-varying network (1)
  • Sparse Functional Data (1)
  • Sparse (1)
  • Semiprametric additive models (1)
  • Quantile regression (1)
  • Null region (1)
  • Oracle property (1)
  • Gaussian Mixture Model-based Clustering (1)
  • Functional linear regression (1)
  • Functional Regression Model (1)
  • Dynamical correlation (1)
  • Derivative estimation (1)
  • B-spline (1)
  • Asymptotic normality (1)
  • unsupervised learning (1)

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