On Estimates of Parameters of Counting Processes

The author investigates the asymptotic behavior of Bayesian and maximum-likelihood estimates for the parameters of counting processes with continuous compensators under conditions of local asymptotic normality of the family of measures generated by counting processes. Uniform asymptotic normality, uniform convergence of the moments, and the asymptotic minimax property in any compactum are demonstrated for the estimates in equation.