Spatial modelling of peak frequencies of brain signals

Mahendran Shitan; Hernando Ombao; Kok Wei Ling

Spatial modelling of peak frequencies of brain signals

Mahendran Shitan^*, Hernando Ombao, Kok Wei Ling

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Spatial modelling of various phenomena has been undertaken in many diversified fields. In this project, we concentrate on the modelling of the peak frequencie of brain signals and the objective is to fit and illustrate spatial regression with Simultaneous Autoregressive (SAR) covariance structure. We found that the peak frequencies can be modelled appropriately as, Y_i=β₀₀+ β ₁₁x₁x₂+ β ₂₁x₁² x₂+ε _i, with a simultaneous autoregressive correlation structure.

Original language	English (US)
Pages (from-to)	13-26
Number of pages	14
Journal	Malaysian Journal of Mathematical Sciences
Volume	3
Issue number	1
State	Published - 2009
Externally published	Yes

ASJC Scopus subject areas

General Mathematics

Cite this

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title = "Spatial modelling of peak frequencies of brain signals",

abstract = "Spatial modelling of various phenomena has been undertaken in many diversified fields. In this project, we concentrate on the modelling of the peak frequencie of brain signals and the objective is to fit and illustrate spatial regression with Simultaneous Autoregressive (SAR) covariance structure. We found that the peak frequencies can be modelled appropriately as, Yi=β00+ β 11x1x2+ β 21x12 x2+ε i, with a simultaneous autoregressive correlation structure.",

author = "Mahendran Shitan and Hernando Ombao and Ling, {Kok Wei}",

year = "2009",

language = "English (US)",

volume = "3",

pages = "13--26",

journal = "Malaysian Journal of Mathematical Sciences",

issn = "1823-8343",

publisher = "Institute for Mathematical Research",

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T1 - Spatial modelling of peak frequencies of brain signals

AU - Shitan, Mahendran

AU - Ombao, Hernando

AU - Ling, Kok Wei

PY - 2009

Y1 - 2009

N2 - Spatial modelling of various phenomena has been undertaken in many diversified fields. In this project, we concentrate on the modelling of the peak frequencie of brain signals and the objective is to fit and illustrate spatial regression with Simultaneous Autoregressive (SAR) covariance structure. We found that the peak frequencies can be modelled appropriately as, Yi=β00+ β 11x1x2+ β 21x12 x2+ε i, with a simultaneous autoregressive correlation structure.

AB - Spatial modelling of various phenomena has been undertaken in many diversified fields. In this project, we concentrate on the modelling of the peak frequencie of brain signals and the objective is to fit and illustrate spatial regression with Simultaneous Autoregressive (SAR) covariance structure. We found that the peak frequencies can be modelled appropriately as, Yi=β00+ β 11x1x2+ β 21x12 x2+ε i, with a simultaneous autoregressive correlation structure.

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M3 - Article

AN - SCOPUS:70349201297

SN - 1823-8343

VL - 3

SP - 13

EP - 26

JO - Malaysian Journal of Mathematical Sciences

JF - Malaysian Journal of Mathematical Sciences

IS - 1

ER -

Spatial modelling of peak frequencies of brain signals

Abstract

ASJC Scopus subject areas

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