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Gibbs sampler

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Date: 2017
Language: eng
Resource Type: thesis
Identifier: http://hdl.handle.net/1959.13/1342483
Description: Research Doctorate - Doctor of Philosophy (PhD)
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Date: 2012
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/1309206
Description: A hierarchical Bayesian model is investigated. This model can accommodate study heterogeneity in meta-analyses. The joint posterior distribution is derived by multiplying the likelihood and priors on ... More
Reviewed: Reviewed
Date: 2006
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/32015
Description: Recent studies have shown that flood data from eastern Australian catchments may demonstrate variability in flood risk over multidecadal time scales, characterised by crossings of the Interdecadal Pac... More
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Reviewed: Reviewed
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Date: 2003
Resource Type: journal article
Identifier: uon:1848
Description: A Bayesian approach for calibrating a hidden Markov model (HMM) to long-term multi-site rainfall time series is presented. Using a HMM approach for simulating long-term persistence is attractive becau... More
Reviewed: Reviewed
Creators: Thyer, Mark Andrew
Date: 2001
Language: eng
Resource Type: thesis
Identifier: http://hdl.handle.net/1959.13/24891
Description: The hidden state Markov (HSM) model is introduced as a new conceptual framework for modelling long-term persistence in hydrological time series. Unlike the stochastic models currently used, the concep... More
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Date: 2000
Resource Type: journal article
Identifier: uon:2884
Description: A hidden state Markov (HSM) model is developed as a new approach for generating hydroclimatic time series with long-term persistence. The two-state HSM model is motivated by the fact that the interact... More
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Reviewed: Reviewed
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