Bayesian Computation in Dynamic Latent Factor Models
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 multivariate time seri…
Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting
We present new methodology and a case study in use of a class of Bayesian predictive synthesis (BPS) models for multivariate time series forecasting. This extends the foundational BPS framework to …
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