Fetsje Bijma

发表

Mathematical modelling of magnetoencephalographic data

Fetsje Bijma, F. Bijma, 2005 .

Existence and uniqueness of the maximum likelihood estimator for models with a Kronecker product covariance structure

Fetsje Bijma, Jan C. de Munck, Beata P. Ros, 2014, J. Multivar. Anal..

A clustering coefficient for complete weighted networks

Fetsje Bijma, Michael P. McAssey, F. Bijma, 2015, Network Science.

The coupled dipole model: an integrated model for multiple MEG/EEG data sets

Fetsje Bijma, Jan C. de Munck, Koen B. E. Böcker, 2004, NeuroImage.

A three domain covariance framework for EEG/MEG data

Fetsje Bijma, Jan C. de Munck, Beata P. Ros, 2014, NeuroImage.

A Data and Model-Driven Approach to Explore Inter-Subject Variability of Resting-State Brain Activity Using EEG-fMRI

Fetsje Bijma, Fernando Henrique Lopes da Silva, Jan C. de Munck, 2008, IEEE Journal of Selected Topics in Signal Processing.

An Introduction to Mathematical Statistics

Fetsje Bijma, Aad van der Vaart, Marianne A. Jonker, 2017 .

How are evoked responses generated? The need for a unified mathematical framework

Fetsje Bijma, Jan C. de Munck, J. D. Munck, 2010, Clinical Neurophysiology.

A space–frequency analysis of MEG background processes

Fetsje Bijma, Jan C. de Munck, J. D. Munck, 2008, NeuroImage.

The spatiotemporal MEG covariance matrix modeled as a sum of Kronecker products

Fetsje Bijma, Jan C. de Munck, Rob M. Heethaar, 2005, NeuroImage.

Inter-subject variability of resting state brain activity explored using a data and model-driven approach in combination with EEG-FMRI

Fetsje Bijma, Fernando Henrique Lopes da Silva, Jan C. de Munck, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head

Fetsje Bijma, Fernando Henrique Lopes da Silva, Jan C. de Munck, 2003, IEEE Transactions on Biomedical Engineering.

A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data sets

Fetsje Bijma, Jan C. de Munck, Rob M. Heethaar, 2004, IEEE Transactions on Biomedical Engineering.

A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurements

Fetsje Bijma, Jan C. de Munck, Rob M. Heethaar, 2003, NeuroImage.

Regional analysis of volumes and reproducibilities of automatic and manual hippocampal segmentations

Fetsje Bijma, Marcel van Herk, Frederik Barkhof, 2017, PloS one.

Data‐driven modeling of phase interactions between spontaneous MEG oscillations

Fetsje Bijma, Rikkert Hindriks, Cornelis J Stam, 2011, Human brain mapping.