A Decision-Theoretic Approach to Summarising Posterior Information in a Sample of step Functions

DOI10.1080/10485250211395zbMath1011.62010OpenAlexW2098184009MaRDI QIDQ4805747

Matthew E. A. Hodgson

Publication date: 5 June 2003

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250211395

zbMATH Keywords

time seriessimulated annealingsignal restorationreversible jump Markov chain Monte Carloion channelsloss functionsstep functions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian problems; characterization of Bayes procedures (62C10) Numerical analysis or methods applied to Markov chains (65C40) Physiology (general) (92C30)

Cites Work

• Optimization by Simulated Annealing
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Cooling Schedules for Optimal Annealing
• A Bayesian Restoration of an Ion Channel Signal
• New Loss Functions in Bayesian Imaging

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