Browsing by Author "Niemi, Jarad"
Now showing items 1-3 of 3
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Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear State-Space Models.
(J Comput Graph Stat, 2010-06-01)We describe a strategy for Markov chain Monte Carlo analysis of non-linear, non-Gaussian state-space models involving batch analysis for inference on dynamic, latent state variables and fixed model parameters. The key innovation ... -
Bayesian Analysis and Computational Methods for Dynamic Modeling
(2009)Dynamic models, also termed state space models, comprise an extremely rich model class for time series analysis. This dissertation focuses on building state space models for a variety of contexts and computationally efficient ... -
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.
(Proceedings of the National Academy of Sciences of the United States of America, 2022-04)Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general ...
