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Autor:
Gabor, James Cohen, Grazian, Clara
This paper presents a comparative study of two Bayesian approaches - Markov Chain Monte Carlo (MCMC) and Approximate Bayesian Computation (ABC) - for estimating the parameters of autoregressive fractionally-integrated moving average (ARFIMA) models,
Externí odkaz:
http://arxiv.org/abs/2410.13261
