Bayesian Nonparametric Mixture Estimation for Time-Indexed Functional Data in R

Bayesian Nonparametric Mixture Estimation for Time-Indexed Functional Data in R

We present growfunctions for R that offers Bayesian nonparametric estimation models for analysis of dependent, noisy time series data indexed by a collection of domains. This data structure arises from combining periodically published government survey statistics, such as are reported in the Current...

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Bibliographic Details
Main Author: Terrance D. Savitsky
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2016-08-01
Series:Journal of Statistical Software
Subjects:
Gaussian process
Gaussian Markov random field
Dirichlet process
Bayesian hierarchical models
time series
functional data
R
C++
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2800

Internet

https://www.jstatsoft.org/index.php/jss/article/view/2800

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