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Neuroimaging feature extraction using a neural network classifier for imaging genetics

BMC bioinformatics, 2023-06, Vol.24 (1), p.271-271, Article 271

2023

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A Bayesian spatial model for imaging genetics

Biometrics, 2022-06, Vol.78 (2), p.742-753

2022

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Investigating the relationship between the Bayes factor and the separation of credible intervals

Psychonomic bulletin & review, 2023-10, Vol.30 (5), p.1759-1781

2023

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Bayesian computation for Log-Gaussian Cox processes: a comparative analysis of methods

Journal of statistical computation and simulation, 2017-01, Vol.87 (11), p.2227-2252

2017

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Time series analysis of fMRI data: Spatial modelling and Bayesian computation

Statistics in medicine, 2018-08, Vol.37 (18), p.2753-2770

2018

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CD8 + T cell infiltration is associated with improved survival and negatively correlates with hypoxia in clear cell ovarian cancer

Scientific reports, 2023-04, Vol.13 (1), p.6530-6530, Article 6530

2023

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

Entropy (Basel, Switzerland), 2021-10, Vol.23 (10), p.1348

2021

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Online Bayesian learning for mixtures of spatial spline regressions with mixed effects

Journal of statistical computation and simulation, 2022-05, Vol.92 (7), p.1530-1566

2022

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

Journal of the Royal Statistical Society Series C: Applied Statistics, 2019-04, Vol.68 (3), p.521-541

2019

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Improving Rates of Germline BRCA Mutation Testing for Patients With Ovarian Cancer in Vancouver Island, British Columbia, Canada

JCO oncology practice, 2023-04, Vol.19 (4), p.e470-e475

2023

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Skew-elliptical spatial random effect modeling for areal data with application to mapping health utilization rates

Statistics in medicine, 2013-01, Vol.32 (2), p.290-306

2013

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

Entropy (Basel, Switzerland), 2021-03, Vol.23 (3), p.329

2021

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Spectral dynamic causal modelling of resting-state fMRI: an exploratory study relating effective brain connectivity in the default mode network to genetics

Statistical applications in genetics and molecular biology, 2020-08, Vol.19 (3)

2020

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Toward a kinetic-based probabilistic time geography

International journal of geographical information science : IJGIS, 2014-05, Vol.28 (5), p.855-874

2014

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

Statistical methods in medical research, 2013-08, Vol.22 (4), p.424-438

2013

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Big Data Analytics and Information Science for Business and Biomedical Applications II

2022

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Big Data Analytics and Information Science for Business and Biomedical Applications

2022

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

International journal of geographical information science : IJGIS, 2012-07, Vol.26 (7), p.1213-1229

2012

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A hidden Markov model for analysis of frontline veterinary data for emerging zoonotic disease surveillance

PloS one, 2011-09, Vol.6 (9), p.e24833

2011

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A Bayesian space-time model for discrete spread processes on a lattice

Spatial and spatio-temporal epidemiology, 2012-06, Vol.3 (2), p.151-162

2012

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A Potts-mixture spatiotemporal joint model for combined magnetoencephalography and electroencephalography data

Canadian journal of statistics, 2019-12, Vol.47 (4), p.688-711

2019

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Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs

Journal of mathematical psychology, 2016-06, Vol.72, p.144-157

2016

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Special Issue on Neuroimaging data analysis: Guest Editors' Introduction

Canadian journal of statistics, 2021-03, Vol.49 (1), p.4-9

2021

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A Bayesian approach to the mixed-effects analysis of accuracy data in repeated-measures designs

Journal of memory and language, 2017-10, Vol.96, p.78-92

2017

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A better (Bayesian) interval estimate for within-subject designs

Journal of mathematical psychology, 2018-10, Vol.86, p.1-9

2018

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Neuroimaging feature extraction using a neural network classifier for imaging genetics

A Bayesian spatial model for imaging genetics

Investigating the relationship between the Bayes factor and the separation of credible intervals

Bayesian computation for Log-Gaussian Cox processes: a comparative analysis of methods

Time series analysis of fMRI data: Spatial modelling and Bayesian computation

CD8 + T cell infiltration is associated with improved survival and negatively correlates with hypoxia in clear cell ovarian cancer

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

Online Bayesian learning for mixtures of spatial spline regressions with mixed effects

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

Improving Rates of Germline BRCA Mutation Testing for Patients With Ovarian Cancer in Vancouver Island, British Columbia, Canada

Skew-elliptical spatial random effect modeling for areal data with application to mapping health utilization rates

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

Spectral dynamic causal modelling of resting-state fMRI: an exploratory study relating effective brain connectivity in the default mode network to genetics

Toward a kinetic-based probabilistic time geography

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

Big Data Analytics and Information Science for Business and Biomedical Applications II

Big Data Analytics and Information Science for Business and Biomedical Applications

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

A hidden Markov model for analysis of frontline veterinary data for emerging zoonotic disease surveillance

A Bayesian space-time model for discrete spread processes on a lattice

A Potts-mixture spatiotemporal joint model for combined magnetoencephalography and electroencephalography data

Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs

Special Issue on Neuroimaging data analysis: Guest Editors' Introduction

A Bayesian approach to the mixed-effects analysis of accuracy data in repeated-measures designs

A better (Bayesian) interval estimate for within-subject designs

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