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Kybernetika 31(1):1-16, 1995.

Bayesian Analysis of the Model of Hidden Periodicities

Jiří Anděl


Abstract:

Consider a model of hidden periodicities $X_t=Y_t+\sum_{i=1}^k (a_i\cos \omega_i t + b_i \sin \omega_i t)$, $t=1,\dots,2m+1$. It is assumed that $Y_t$ are i.i.d. $N(0,\sigma^2)$ variables and that $\omega _i \in \{\lambda_1,\dots, \lambda_m\}$ where $\lambda_r= 2\pi r/(2m +1)$. Let $a_i$, $b_i$ and $\sigma$ have a vague prior distribution and let the vector $(\omega_1, \dots, \omega_k)'$ have a rectangular distribution. The posterior distribution of the parameters is derived and its asymptotic properties are investigated. The results can be used for estimating the number of periodical components $k$.


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BIB TeX

@article{kyb:1995:1:1-16,

author = {And\v{e}l, Ji\v{r}\'{\i}},

title = {Bayesian Analysis of the Model of Hidden Periodicities},

journal = {Kybernetika},

volume = {31},

year = {1995},

number = {1},

pages = {1-16}

publisher = {{\'U}TIA, AV {\v C}R, Prague },

}


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