BACK to VOLUME 40 NO.6

Kybernetika 40(6):691-702, 2004.

On Geometric Ergodicity and Prediction in Nonnegative Non-linear Autoregressive Processes

Petr Zvára


Abstract:

A non-linear AR(1) process is investigated when the associated white noise is positive. A criterion is derived for the geometric ergodicity of the process. Some explicit formulas are derived for one and two steps ahead extrapolation. Influence of parameter estimation on extrapolation is studied.


Keywords: geometric ergodicity; non-linear autoregression; least squares extrapolation;


AMS: 62M10; 62M20;


download abstract.pdf


BIB TeX

@article{kyb:2004:6:691-702,

author = {Zv\'{a}ra, Petr},

title = {On Geometric Ergodicity and Prediction in Nonnegative Non-linear Autoregressive Processes},

journal = {Kybernetika},

volume = {40},

year = {2004},

number = {6},

pages = {691-702}

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

}


BACK to VOLUME 40 NO.6