SCOPUS 정보 검색 플랫폼

Volumn 22, Issue 4, 2013, Pages 424-438

A Skew-t space-varying regression model for the spectral analysis of resting state brain activity

(7) Ismail, Salimah a Sun, Wenqi b,c Nathoo, Farouk S a Babul, Arif a Moiseev, Alexader b Beg, Mirza Faisal c Virji Babul, Naznin d

a UNIVERSITY OF VICTORIA (Canada)

b Down Syndrome Research Foundation (Canada)

c SIMON FRASER UNIVERSITY (Canada)

d UNIVERSITY OF BRITISH COLUMBIA (Canada)

Author keywords

down syndrome; magnetoencephalography; Markov random field; Skew t distribution; space varying regression

Indexed keywords

ADULT; AGE; BIOSENSOR; BRAIN REGION; CLINICAL ARTICLE; CONFERENCE PAPER; CONTROLLED STUDY; DOWN SYNDROME; ELECTROENCEPHALOGRAM; FEMALE; GENDER; HIDDEN MARKOV MODEL; HUMAN; KERNEL METHOD; MAGNETOENCEPHALOGRAPHY; MALE; OSCILLATION; REGRESSION ANALYSIS; RESPONSE VARIABLE; SCALP; SKEW T MIXED MODEL; SPECTROMETRY; SPECTROSCOPY; STATISTICAL MODEL; TEMPORAL LOBE; TIME SERIES ANALYSIS; TOPOGRAPHY;

DOWN SYNDROME; MAGNETOENCEPHALOGRAPHY; MARKOV RANDOM FIELD; SKEW-T DISTRIBUTION; SPACE-VARYING REGRESSION;

ALGORITHMS; BAYES THEOREM; BIOSTATISTICS; BRAIN; CASE-CONTROL STUDIES; DOWN SYNDROME; FUNCTIONAL NEUROIMAGING; HUMANS; MAGNETOENCEPHALOGRAPHY; MARKOV CHAINS; MODELS, NEUROLOGICAL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; REGRESSION ANALYSIS;

EID: 84881459076 PISSN: 09622802 EISSN: 14770334 Source Type: Journal
DOI: 10.1177/0962280212448974 Document Type: Conference Paper

Times cited : (7)

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