Hierarchical spatio-temporal modeling of resting state fMRI data

DOI10.1007/978-3-030-00039-4_7zbMath1414.92159OpenAlexW2907032163MaRDI QIDQ2419876

Tommaso Rigon, Andrea Sottosanti, Alessia Caponera, Francesco Denti, Alan E. Gelfand

Publication date: 4 June 2019

Full work available at URL: https://doi.org/10.1007/978-3-030-00039-4_7

zbMATH Keywords

Gaussian processesseparable modelsBayesian factor analysislow-rank factorizations

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Biomedical imaging and signal processing (92C55)

Related Items (1)

Co-clustering of spatially resolved transcriptomic data

This page was built for publication: Hierarchical spatio-temporal modeling of resting state fMRI data