Title
Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification.
Abstract
This paper proposes a Bayesian nonparametric regression model of panel data for sequential pattern classification. The proposed method provides a flexible and parsimonious model that allows both time-independent spatial variables and time-dependent exogenous variables to be predictors. Not only this method improves the accuracy of parameter estimation for limited data, but also it facilitates mode...
Year
DOI
Venue
2018
10.1109/TNNLS.2017.2752005
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Data models,Biological system modeling,Tensile stress,Bayes methods,Mathematical model,Numerical models,Predictive models
Panel data,Data modeling,Pattern recognition,Experimental data,Regression analysis,Computer science,Nonparametric regression,Bayesian linear regression,Bayesian multivariate linear regression,Artificial intelligence,Statistical hypothesis testing
Journal
Volume
Issue
ISSN
29
9
2162-237X
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Sihan Xiong101.01
Yiwei Fu222.43
Ray, A.3832184.32