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Parameter clustering in Bayesian functional principal component analysis of neuroscientific data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Event related potentials during object recognition tasks
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Functional connectivity hubs in the human brain
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Dynamic functional connectivity: Promise, issues, and interpretations
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A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data
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Nonparametric Bayes local partition models for random effects
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Clustering for Sparsely Sampled Functional Data
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Bayesian Inference on Changes in Response Densities Over Predictor Clusters
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Spatially Adaptive Bayesian Penalized Splines With Heteroscedastic Errors
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Bayesian Semiparametric Joint Models for Functional Predictors
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Simultaneous Confidence Bands for Penalized Spline Estimators
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Event-related potential: An overview
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Introduction to Geostatistical Functional Data Analysis
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Robust Bayesian functional principal component analysis
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clusterBMA: Bayesian model averaging for clustering
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Statistical machine learning methods for neuroscientific data: Analysing brain activity, psychopathology and cognitive function in adolescents
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