7 citations · 16 across the 16 of their papers we have counts for
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Bayesian Analysis of fMRI data with Spatially-Varying Autoregressive Orders
Ming Teng, Farouk S. Nathoo, Timothy D. Johnson
Statistical modeling of fMRI data is challenging as the data are both spatially and temporally correlated. Spatially, measurements are taken at thousands of contiguous regions, cal…
Bayesian Computation for Log-Gaussian Cox Processes--A Comparative Analysis of Methods
Ming Teng, Farouk S. Nathoo, Timothy D. Johnson
The Log-Gaussian Cox Process is a commonly used model for the analysis of spatial point patterns. Fitting this model is difficult because of its doubly-stochastic property, i.e., i…
Time Series Analysis of fMRI Data: Spatial Modelling and Bayesian Computation
Ming Teng, Timothy Johnson, Farouk Nathoo
Time series analysis of fMRI data is an important area of medical statistics for neuroimaging data. The neuroimaging community has embraced mean-field variational Bayes (VB) approx…