A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis

Research output: Contribution to journalArticle

5 Citations (Scopus)
LanguageEnglish
Pages105-118
JournalNeuroinformatics
Volume11
Issue number1
DOIs
Publication statusPublished - 2013

Cite this

@article{87951fb2688c4078bdad6cd4985ff3cf,
title = "A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis",
author = "Xingfeng Li and D Coyle and LP Maguire and TM McGinnity",
year = "2013",
doi = "10.1007/s12021-012-9168-8",
language = "English",
volume = "11",
pages = "105--118",
journal = "Neuroinformatics",
issn = "1539-2791",
number = "1",

}

A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis. / Li, Xingfeng; Coyle, D; Maguire, LP; McGinnity, TM.

In: Neuroinformatics, Vol. 11, No. 1, 2013, p. 105-118.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis

AU - Li, Xingfeng

AU - Coyle, D

AU - Maguire, LP

AU - McGinnity, TM

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U2 - 10.1007/s12021-012-9168-8

DO - 10.1007/s12021-012-9168-8

M3 - Article

VL - 11

SP - 105

EP - 118

JO - Neuroinformatics

T2 - Neuroinformatics

JF - Neuroinformatics

SN - 1539-2791

IS - 1

ER -