Open AccessDATA MODELING WITH AUTOREGRESSIVE BASED ON REVERSIBLE JUMP MCMC SIMULATION: COMPARING GAUSSIAN AND LAPLACIAN NOISE
Author(s) -
Suparman Suparman
Publication year - 2022
Publication title -
international journal of geomate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 17
eISSN - 2186-2990
pISSN - 2186-2982
DOI - 10.21660/2022.91.gxi270
Subject(s) - autoregressive model , jump , markov chain monte carlo , noise (video) , gaussian , gaussian noise , computer science , star model , statistical physics , econometrics , mathematics , statistics , algorithm , bayesian probability , artificial intelligence , autoregressive integrated moving average , time series , physics , quantum mechanics , image (mathematics)