BAYESIAN 3-DIMENSIONAL SPATIAL VARIABLE SELECTION MODELING OF VOXEL-SPECIFIC HRFs FOR LOCALIZATION IN fMRI TIME SERIES DATA

2018 ◽  
Vol 51 (6) ◽  
pp. 397-426
Author(s):  
Nasrin Borumandnia ◽  
Hamid Alavi Majd ◽  
Farid Zayeri ◽  
Ahmad Reza Baghestani ◽  
Mahmood Reza Gohari ◽  
...  
Keyword(s):  
Time Series ◽  
Variable Selection ◽  
Time Series Data ◽  
Spatial Variable ◽  
Series Data ◽  
3 Dimensional ◽  
Fmri Time Series

Dimensionality reduction of fMRI time series data using locally linear embedding

2010 ◽  
Vol 23 (5-6) ◽  
pp. 327-338 ◽  
Author(s):  
Peter Mannfolk ◽  
Ronnie Wirestam ◽  
Markus Nilsson ◽  
Freddy Ståhlberg ◽  
Johan Olsrud
Keyword(s):  
Time Series ◽  
Dimensionality Reduction ◽  
Time Series Data ◽  
Series Data ◽  
Locally Linear Embedding ◽  
Fmri Time Series ◽  
Linear Embedding ◽  
Locally Linear

scholarly journals Model and Variable Selection Procedures for Semiparametric Time Series Regression

2009 ◽  
Vol 2009 ◽  
pp. 1-37 ◽  
Author(s):  
Risa Kato ◽  
Takayuki Shiohama
Keyword(s):  
Time Series ◽  
Model Selection ◽  
Variable Selection ◽  
Time Series Data ◽  
Selection Procedure ◽  
Semiparametric Regression ◽  
Information Criteria ◽  
Series Data ◽  
Unknown Parameters ◽  
Time Series Regression

Semiparametric regression models are very useful for time series analysis. They facilitate the detection of features resulting from external interventions. The complexity of semiparametric models poses new challenges for issues of nonparametric and parametric inference and model selection that frequently arise from time series data analysis. In this paper, we propose penalized least squares estimators which can simultaneously select significant variables and estimate unknown parameters. An innovative class of variable selection procedure is proposed to select significant variables and basis functions in a semiparametric model. The asymptotic normality of the resulting estimators is established. Information criteria for model selection are also proposed. We illustrate the effectiveness of the proposed procedures with numerical simulations.

Examinations of Functional Connectivity with fMRI Time-Series Data

NeuroImage ◽  
1998 ◽  
Vol 7 (4) ◽  
pp. S172
Author(s):  
E.W. Mencl ◽  
J.C. Gatenby ◽  
K.R. Pugh ◽  
B.A. Shaywitz ◽  
S.E. Shaywitz ◽  
...  
Keyword(s):  
Time Series ◽  
Functional Connectivity ◽  
Time Series Data ◽  
Series Data ◽  
Fmri Time Series
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