17 citations · 24 across the 3 of their papers we have counts for
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stat.ME2020★ 7 cited
Bayesian Computation in Dynamic Latent Factor Models
Isaac Lavine, Andrew Cron, Mike West
Bayesian computation for filtering and forecasting analysis is developed for a broad class of dynamic models. The ability to scale-up such analyses in non-Gaussian, nonlinear multi…
stat.ME2019
Perturbed factor analysis: Accounting for group differences in exposure profiles
Arkaprava Roy, Isaac Lavine, Amy H. Herring +1
In this article, we investigate group differences in phthalate exposure profiles using NHANES data. Phthalates are a family of industrial chemicals used in plastics and as solvents…
stat.ME2019★ 17 cited
Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models
Isaac Lavine, Michael Lindon, Mike West
We discuss Bayesian model uncertainty analysis and forecasting in sequential dynamic modeling of multivariate time series. The perspective is that of a decision-maker with a specif…