Estimating unobservable signal by Markovian noise induction: when noise helps in statistics!

DOI10.1007/S10260-003-0059-XzbMath1056.62004OpenAlexW3123300197WikidataQ126580766 ScholiaQ126580766MaRDI QIDQ1767000

Ilia Negri, Stefano Maria Iacus

Publication date: 3 March 2005

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-003-0059-x

zbMATH Keywords

stochastic resonancemixing processessignal estimationthreshold observations

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Statistical aspects of information-theoretic topics (62B10)

Related Items (3)

On beta distributed limits of iterated linear random functions ⋮ On explicit form of the stationary distributions for a class of bounded Markov chains ⋮ Parametric estimation for partially hidden diffusion processes sampled at discrete times

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