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Semiparametric Bayesian models for human brain mapping

https://doi.org/10.1191/1471082x02st040oa
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1097-0193(1998)6:4<239::aid-hbm4>3.0.co;2-4openalex-snapshot
Effect of temporal autocorrelation due to physiological noise and stimulus paradigm on voxel-level false-positive rates in fMRI
inferredcites →https://doi.org/10.1002/(sici)1097-0193(1998)6:4<283::aid-hbm7>3.0.co;2-#openalex-snapshot
Modeling hemodynamic response for analysis of functional MRI time‐series
inferredcites →https://doi.org/10.1002/(sici)1097-0193(1999)7:1<1::aid-hbm1>3.0.co;2-hopenalex-snapshot
Mixture model mapping of brain activation in functional magnetic resonance images
inferredcites →https://doi.org/10.1002/(sici)1522-2594(200001)43:1<72::aid-mrm9>3.0.co;2-yopenalex-snapshot
Dynamic models in fMRI
inferredcites →https://doi.org/10.1002/1097-0193(200012)11:4<233::aid-hbm10>3.0.co;2-fopenalex-snapshot
Spatial mixture modeling of fMRI data
inferredcites →https://doi.org/10.1002/1522-2594(200010)44:4<625::aid-mrm17>3.0.co;2-oopenalex-snapshot
In vivo fiber tractography using DT-MRI data
inferredcites →https://doi.org/10.1002/hbm.460010207openalex-snapshot
Analysis of functional MRI time‐series
inferredcites →https://doi.org/10.1002/mrm.1910300204openalex-snapshot
Processing strategies for time‐course data sets in functional mri of the human brain
inferredcites →https://doi.org/10.1002/mrm.1910330508openalex-snapshot
Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold
inferredcites →https://doi.org/10.1002/mrm.1910350219openalex-snapshot
Statistical methods of estimation and inference for functional MR image analysis
inferredcites →https://doi.org/10.1006/nimg.1995.1007openalex-snapshot
Analysis of fMRI Time-Series Revisited
inferredcites →https://doi.org/10.1006/nimg.1996.0248openalex-snapshot
Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging
inferredcites →https://doi.org/10.1006/nimg.1997.0263openalex-snapshot
Empirical Analyses of BOLD fMRI Statistics
inferredcites →https://doi.org/10.1006/nimg.1997.0264openalex-snapshot
Empirical Analyses of BOLD fMRI Statistics
inferredcites →https://doi.org/10.1006/nimg.1997.0278openalex-snapshot
Parametric Analysis of fMRI Data Using Linear Systems Methods
inferredcites →https://doi.org/10.1006/nimg.1998.0369openalex-snapshot
The Variability of Human, BOLD Hemodynamic Responses
inferredcites →https://doi.org/10.1006/nimg.2000.0604openalex-snapshot
Nonlinear Regression of Functional MRI Data: An Item Recognition Task Study
inferredcites →https://doi.org/10.1006/nimg.2000.0607openalex-snapshot
Regularization of Diffusion-Based Direction Maps for the Tracking of Brain White Matter Fascicles
inferredcites →https://doi.org/10.1006/nimg.2001.0795openalex-snapshot
Bayesian Modeling of the Hemodynamic Response Function in BOLD fMRI
inferredcites →https://doi.org/10.1006/nimg.2002.1055openalex-snapshot
Fiber Tracking from DTI Using Linear State Space Models: Detectability of the Pyramidal Tract
inferredcites →https://doi.org/10.1007/978-3-642-55721-7openalex-snapshot
Exploratory Data Analysis in Empirical Research
inferredcites →https://doi.org/10.1007/bf00116466openalex-snapshot
Bayesian image restoration, with two applications in spatial statistics
inferredcites →https://doi.org/10.1080/01621459.2000.10474253openalex-snapshot
A Bayesian Time-Course Model for Functional Magnetic Resonance Imaging Data
inferredcites →https://doi.org/10.1109/34.682182openalex-snapshot
Bayesian estimation for homogeneous and inhomogeneous Gaussian random fields
inferredcites →https://doi.org/10.1111/j.0006-341x.2001.00554.xopenalex-snapshot
Bayesian Spatiotemporal Inference in Functional Magnetic Resonance Imaging
inferredcites →https://doi.org/10.1198/1061860043010openalex-snapshot
Bayesian P-Splines
inferredcites →https://doi.org/10.1214/ss/1009212813openalex-snapshot
inferredcites →https://doi.org/10.1214/ss/1009212815openalex-snapshot
Bayesian backfitting (with comments and a rejoinder by the authors
inferredcites →https://doi.org/10.1214/ss/1038425655openalex-snapshot
Flexible smoothing with B-splines and penalties

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.1545121openalex-extracted
Spatial and Temporal Diffusion of House Prices in the UK
inferred← citeshttps://doi.org/10.1002/0470011815.b2a12021openalex-snapshot
Discrimination and Clustering for Multivariate Time Series
inferred← citeshttps://doi.org/10.1002/9781118445112.stat05501openalex-snapshot
Discrimination and Clustering for Multivariate Time Series
inferred← citeshttps://doi.org/10.1016/j.csda.2008.03.033openalex-snapshot
Efficient modeling and inference for event-related fMRI data
inferred← citeshttps://doi.org/10.1016/j.jue.2010.08.002openalex-snapshot
The spatial and temporal diffusion of house prices in the UK
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2013.08.024openalex-snapshot
Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging
inferred← citeshttps://doi.org/10.1111/j.1467-9876.2007.00580.xopenalex-snapshot
Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping
inferred← citeshttps://doi.org/10.1198/016214506000001031openalex-snapshot
Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging
inferred← citeshttps://doi.org/10.1214/07-aos519openalex-snapshot
Semiparametric detection of significant activation for brain fMRI
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