Bayesian spatiotemporal modeling on complex-valued fMRI signals via kernel convolutions.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13631
Abstract: We propose a model-based approach that combines Bayesian variable selection tools, a novel spatial kernel convolution structure, and autoregressive processes for detecting a subject's brain activation at the voxel level in complex-valued fMRI (CV-fMRI) data.… read more here.
Keywords: valued fmri; structure; kernel; complex valued ... See more keywords
Meteorological, Socioeconomic, and Environmental Factors Influencing Human Brucellosis Occurrence in Yunnan, China, 2006–2021: A Bayesian Spatiotemporal Modeling Study
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DOI: 10.1155/tbed/8872434
Abstract: Background: Brucellosis epidemics in Yunnan Province in southern China have increased and caused more impact in recent years. However, the epidemiological characteristics and driving factors for brucellosis have not been clearly described. The aim of… read more here.
Keywords: human brucellosis; bayesian spatiotemporal; meteorological socioeconomic; china ... See more keywords
Connecting Child Maltreatment Risk With Crime and Neighborhood Disadvantage Across Time and Place: A Bayesian Spatiotemporal Analysis
Sign Up to like & getrecommendations! Published in 2019 at "Child Maltreatment"
DOI: 10.1177/1077559518814364
Abstract: Child maltreatment is a major public health problem. Although maltreatment rates vary over time and are influenced by neighborhood characteristics, the unique effects of crime and disadvantage on risk are not well understood. This study… read more here.
Keywords: risk; maltreatment; child maltreatment; bayesian spatiotemporal ... See more keywords