Abstract
This paper deals with weak convergence of stochastic integrals with respect to multivariate point processes. The results are given in terms of an entropy condition for partitioning of the index set of the integrands, which is a sort of L2-bracketing. We also consider lα-valued martingale difference arrays, and present natural generalizations of Jain-Marcus's and Ossian-der's central limit theorems. As an application, the asymptotic behavior of log-likelihood ratio random fields in general statistical experiments with abstract parameters is derived.
Original language | English |
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Pages (from-to) | 685-712 |
Number of pages | 28 |
Journal | Annals of Probability |
Volume | 28 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2000 Apr |
Externally published | Yes |
Keywords
- Central limit theorem
- Likelihood
- Markov chain
- Martingale
- Point process
- Weak convergence
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty