Sparse Functional Dynamical Models—A Big Data Approach-Reference-Cited by-同舟云学术

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Sparse Functional Dynamical Models—A Big Data Approach

Published:2017-04-03 Issue:2 Volume:26 Page:319-329
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Sienkiewicz Ela¹,Song Dong²,Breidt F. Jay³,Wang Haonan³

Affiliation:

1. Department of Computer Science, Colorado State University, Fort Collins, Colorado

2. Department of Biomedical Engineering, University of Southern California, Los Angeles, California

3. Department of Statistics, Colorado State University, Fort Collins, Colorado

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2016.1222292

Reference43 articles.

1. The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis

2. Extended Bayesian information criteria for model selection with large model spaces

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3. Wavelet estimation of the dimensionality of curve time series;Annals of the Institute of Statistical Mathematics;2019-07-15

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