Farouk S. Nathoo

发表

Characterizing spatial-temporal patterns of landscape disturbance and recovery in western Alberta, Canada using a functional data analysis approach and remotely sensed data

Nicholas C. Coops, Mathieu L. Bourbonnais, Trisalyn A. Nelson, 2017, Ecol. Informatics.

Application of Bayesian spatial smoothing models to assess agricultural self-sufficiency

Trisalyn A. Nelson, Farouk S. Nathoo, Kathryn T. Morrison, 2012, Int. J. Geogr. Inf. Sci..

A Comparison of Variational Bayes and Hamiltonian Monte Carlo for Bayesian fMRI Time Series Analysis with Spatial Priors

Farouk S. Nathoo, Timothy D. Johnson, Ming Teng, 2016 .

A Potts-Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data.

Farouk S. Nathoo, Yin Song, Arif Babul, 2017, 1710.08269.

Toward a kinetic-based probabilistic time geography

Trisalyn A. Nelson, Farouk S. Nathoo, Jed A. Long, 2014, Int. J. Geogr. Inf. Sci..

Spectral Dynamic Causal Modelling of Resting-State fMRI: Relating Effective Brain Connectivity in the Default Mode Network to Genetics

Yunlong Nie, Liangliang Wang, Farouk S. Nathoo, 2019, 1901.09975.

Bayesian analysis of functional magnetic resonance imaging data with spatially varying auto‐regressive orders

Farouk S. Nathoo, Timothy D. Johnson, Ming Teng, 2019 .

A functional data analysis approach for characterizing spatial-temporal patterns of landscape disturbance and recovery from remotely sensed data

Nicholas C. Coops, Mathieu L. Bourbonnais, Trisalyn A. Nelson, 2019 .

The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model

Farouk S. Nathoo, Yin Song, Arif Babul, 2017 .

A Bayesian group sparse multi‐task regression model for imaging genetics

Farouk S. Nathoo, Jinko Graham, Mary Lesperance, 2017, Bioinform..

Predictive crime mapping

Trisalyn A. Nelson, Farouk S. Nathoo, Jessica L. Fitterer, 2015 .

Regularization parameter selection for a bayesian group sparse multi-task regression model with application to imaging genomics

Farouk S. Nathoo, Mary Lesperance, Keelin Greenlaw, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging

Farouk S. Nathoo, Shan Shi, F. Nathoo, 2018, 2018 4th International Conference on Big Data and Information Analytics (BigDIA).

A review of statistical methods in imaging genetics

Hongtu Zhu, Linglong Kong, Farouk S. Nathoo, 2017, The Canadian journal of statistics = Revue canadienne de statistique.

Parameter and Mixture Component Estimation in Spatial Hidden Markov Models: A Comparative Analysis of Computational Methods

Trisalyn A. Nelson, Farouk S. Nathoo, Syed Ejaz Ahmed, 2020 .

High-Dimensional Classification for Brain Decoding

Farouk S. Nathoo, Jiguo Cao, Ryan Budney, 2015, 1504.02800.

A Bayesian spatial model for imaging genetics.

Liangliang Wang, Farouk S. Nathoo, Yin Song, 2019, Biometrics.

Sparse Estimation Strategies in Linear Mixed Effect Models for High-Dimensional Data Application

Farouk S. Nathoo, Syed Ejaz Ahmed, Eugene A. Opoku, 2021, Entropy.

Ant Colony System Optimization for Spatiotemporal Modelling of Combined EEG and MEG Data

Farouk S. Nathoo, Syed Ejaz Ahmed, Eugene A. Opoku, 2021, Entropy.

Assessing Quality of Spatial Models Using the Structural Similarity Index and Posterior Predictive Checks

Colin Robertson, Trisalyn A. Nelson, Farouk S. Nathoo, 2014 .

Material for the Bioinformatics submission ’ A Bayesian Group Sparse MultiTask Regression Model for Imaging Genetics ’

Farouk S. Nathoo, Jinko Graham, Mary Lesperance, 2017 .