Conditions under which the linear process is non-negative are investigated in the paper. In the definition of the linear process a strict white noise is used. Explicit results are presented also for the models AR(1) and AR(2).
@article{104466, author = {Martin And\v el}, title = {Non-negative linear processes}, journal = {Applications of Mathematics}, volume = {36}, year = {1991}, pages = {277-283}, zbl = {0737.62073}, mrnumber = {1113951}, language = {en}, url = {http://dml.mathdoc.fr/item/104466} }
Anděl, Martin. Non-negative linear processes. Applications of Mathematics, Tome 36 (1991) pp. 277-283. http://gdmltest.u-ga.fr/item/104466/
Statistical Analysis of Time Series, (Czech). SNTL Praha 1976. (1976)
AR(1) processes with given moments of marginal distribution, Kybernetika 25 (1989), 337-347. (1989) | MR 1024709 | Zbl 0701.62087
An extension of the Borel lemma, CMUC 32 (1989), 405-407. (1989) | MR 1014141