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Found 3 papers, 1 papers with code
Sensitivity and specificity of a Bayesian single trial analysis for time varying neural signals
In particular, we simulated dual stimulus trial spike counts that reflected fluctuating mixtures of the single stimulus spike counts, stable intermediate averages, single stimulus winner-take-all, or response distributions that were outside the range defined by the single stimulus responses (such as summation or suppression).
Bayesian Analysis of Dynamic Linear Topic Models
We extend the Dynamic Topic Model of Blei and Lafferty (2006) by explicitly modeling document level topic proportions with covariates and dynamic structure that includes polynomial trends and periodicity.
Computer emulation with non-stationary Gaussian processes
Gaussian process (GP) models are widely used to emulate propagation uncertainty in computer experiments.
Methodology
