Convergence in Distribution of Random Measures
Jirina, Miloslav
Ann. Math. Statist., Tome 43 (1972) no. 6, p. 1727-1731 / Harvested from Project Euclid
Let $(S, \mathscr{I})$ be a measurable space, $M$ the set of all finite measures on $\mathscr{I}, \mathscr{F}_M$ the $\sigma$-algebra generated by the family of all measurable cylindrical sets $\cap^k_{i=1} \{\mu \in M: \mu(A_i) \leqq a_i\}$. With each probability measure $P$ on $\mathscr{F}_M$ the family $\{P_{A_1}, \cdots, A_k\}$ of all finite-dimensional probability measures of the cylidrical sets is associated. The following problem is considered: Given a sequence $P^{(n)}$ of probability measures on $\mathscr{F}_M$ such that each sequence $P^{(n)}_{A_1}, \cdots, A_k$ converges weakly to a $k$-dimensional probability measure $P_{A_1}, \cdots, A_k$, does the family $\{P_{A_1}, \cdots, A_k\}$ generate a probability measure $P$ on $\mathscr{F}_M?$ It is proved that the answer is affirmative if $(S, \mathscr{I})$ is the Euclidean $n$-space with the $\sigma$-algebra of Borel sets.
Publié le : 1972-10-14
Classification: 
@article{1177692410,
     author = {Jirina, Miloslav},
     title = {Convergence in Distribution of Random Measures},
     journal = {Ann. Math. Statist.},
     volume = {43},
     number = {6},
     year = {1972},
     pages = { 1727-1731},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177692410}
}
Jirina, Miloslav. Convergence in Distribution of Random Measures. Ann. Math. Statist., Tome 43 (1972) no. 6, pp.  1727-1731. http://gdmltest.u-ga.fr/item/1177692410/