Laplace-delta variational inference for nonconjugate models
Laplace and delta approximations can be useful inside variational algorithms, but they should not be confused with expectation propagation.
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Antonio De Leon Bayesian Statistics | Machine Learning | Statistical Software
Technical notes
Notes on statistical modeling, Bayesian computation, forecast evaluation, and scientific computing. The emphasis is on clear assumptions, reproducible implementation, and diagnostics that can be checked.
Six-part series
A compact sequence from problem formulation through computation, simulation, model criticism, predictive comparison, and final reporting.
Methods and computing
Laplace and delta approximations can be useful inside variational algorithms, but they should not be confused with expectation propagation.
Updated
Use Hummingbird by discovering current partitions, testing small interactive jobs, controlling threads, and submitting reproducible Slurm batches.
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The standard noncentral-chi expression applies to spherical Gaussian covariance. General covariance requires a generalized quadratic-form calculation or simulation.
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