Parameter clustering in Bayesian functional principal component analysis of neuroscientific data

N Margaritella, V Inácio, R King - Statistics in Medicine, 2021 - Wiley Online Library
The extraordinary advancements in neuroscientific technology for brain recordings over the
last decades have led to increasingly complex spatiotemporal data sets. To reduce …

Parameter clustering in Bayesian functional principal component analysis of neuroscientific data

N Margaritella, V Inácio, R King - Statistics in medicine, 2021 - pubmed.ncbi.nlm.nih.gov
The extraordinary advancements in neuroscientific technology for brain recordings over the
last decades have led to increasingly complex spatiotemporal data sets. To reduce …

Parameter clustering in Bayesian functional principal component analysis of neuroscientific data.

N Margaritella, V Inácio, R King - Statistics in Medicine, 2020 - europepmc.org
The extraordinary advancements in neuroscientific technology for brain recordings over the
last decades have led to increasingly complex spatiotemporal data sets. To reduce …

Parameter clustering in Bayesian functional PCA of neuroscientific data

VI de Carvalho, R King - STATISTICS IN MEDICINE, 2021 - research.ed.ac.uk
The extraordinary advancements in neuroscientific technology for brain recordings over the
last decades have led to increasingly complex spatio-temporal datasets. To reduce …

Parameter clustering in Bayesian functional principal component analysis of neuroscientific data

N Margaritella, V Inácio, R King - Statistics in …, 2021 - research-portal.st-andrews.ac.uk
The extraordinary advancements in neuroscientific technology for brain recordings over the
last decades have led to increasingly complex spatiotemporal data sets. To reduce …

Parameter clustering in Bayesian functional principal component analysis of neuroscientific data

N Margaritella, V Inácio, R King - Statistics in …, 2021 - research-repository.st-andrews.ac …
The extraordinary advancements in neuroscientific technology for brain recordings over the
last decades have led to increasingly complex spatiotemporal data sets. To reduce …