Markov switching time series models with application to a daily runoff series
- 1 February 1999
- journal article
- Published by American Geophysical Union (AGU) in Water Resources Research
- Vol. 35 (2), 523-534
- https://doi.org/10.1029/98wr02686
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Molecular diversity of arbuscular mycorrhizal fungi colonising arable cropsFEMS Microbiology Ecology, 2001
- Convergence Control Methods for Markov Chain Monte Carlo AlgorithmsStatistical Science, 1995
- Bayesian Inference and Prediction for Mean and Variance Shifts in Autoregressive Time SeriesJournal of the American Statistical Association, 1993
- Bayesian Analysis of Binary and Polychotomous Response DataJournal of the American Statistical Association, 1993
- State-space modelling of time series sampled from continuous processes with pulsesBiometrika, 1993
- A Monte Carlo Approach to Nonnormal and Nonlinear State-Space ModelingJournal of the American Statistical Association, 1992
- Sampling-Based Approaches to Calculating Marginal DensitiesJournal of the American Statistical Association, 1990
- A Non-Gaussian Model for Time Series with PulsesJournal of the American Statistical Association, 1989
- STATISTICAL IDENTIFICATION OF STORAGE MODELS WITH APPLICATION TO STOCHASTIC HYDROLOGY1Jawra Journal of the American Water Resources Association, 1985
- A Model Fitting Analysis of Daily Rainfall DataJournal of the Royal Statistical Society. Series A (General), 1984