Single-step and multiple-step forecasting in one-dimensional single chirp signal using MCMC-based Bayesian analysis

DOI10.1080/03610918.2015.1053921zbMath1462.62185arXiv1406.7143OpenAlexW2506941132MaRDI QIDQ5356894

Satyaki Mazumder

Publication date: 20 September 2017

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1406.7143

zbMATH Keywords

Bayesian inferenceGibbs samplingchirp signalposterior predictive densityrandom walk MCMC

Mathematics Subject Classification ID

Bayesian inference (62F15) Sampling theory, sample surveys (62D05)

Related Items (3)

On approximate least squares estimators of parameters of one-dimensional chirp signal ⋮ Asymptotic properties of least squares estimators and sequential least squares estimators of a chirp-like signal model parameters ⋮ On chirp and some related signals analysis: a brief review and some new results

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