A characterization of the infinitely divisible squared Gaussian processes
成果类型:
Article
署名作者:
Eisenbaum, Nathalie; Kaspi, Haya
署名单位:
Sorbonne Universite; Technion Israel Institute of Technology
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/009117905000000684
发表日期:
2006
页码:
728-742
关键词:
multivariate gamma-distributions
sub-markovian resolvents
摘要:
We show that, up to multiplication by constants, a Gaussian process has an infinitely divisible square if and only if its covariance is the Green function of a transient Markov process.