Bayesian Forecasting And Dynamic Models Springer Series In Statistics

By Karin Ackermann. 2016

33 citations recorded by the source corpus.

Subfields: Time-Series & Forecasting

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Time-Series & Forecasting

1. J. R. Allen
2. M. Salter-Townshend
3. Brian Huntley
4. James Sweeney
5. T. K. Doan
6. Andrew C. Parnell
7. John Haslett

Citations in the corpus

• Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images (2015, neutral): “, hidden Markov models and Kalman filters[33, 34, 35].”
• Bayesian inference for palaeoclimate with time uncertainty and stochastic volatility (2015, methodology): “Cressie and Wikle, 2011) and dynamic linear models (West and Harrison, 1999).”