In this paper we study strong approximations (invariance principles) of the sequential uniform and general Bahadur-Kiefer processes of long-range dependent sequences. We also investigate the strong and weak asymptotic behavior of the sequential Vervaat process, i.e., the integrated sequential...

We obtain high-density fluctuation limits for trajectories of the motions in Cox systems of independent motions in "Rd". The motions are quite general; they include a large class of diffusions, Brownmian bridges and fractional Brownian motions. The limits take values ina space of distributions...

We constructs a class of seperprocesses by taking the high density limit of a sequence of interacting-branching particle systems. The spatial motion of the superprocess is determined by a system of interacting diffusions, the branching density is given by an arbitary bounded non-negative Borel...

We introduce adapted sets and optional sets and we study a type of strong Markov property for set-indexed precesses, that can be associated with the sharp Markov property defined by Ivanoff and Merzbach (2000a).

We propose a Poisson modelling approach to random effects Cox proportional hazards models. Specifically we describe methods of statistical inference for a class of random effects Cox models which accommodate a wide range of nested random effects distributions. The orthodox BLUP approach to...

We introduce the idea that resampling from past observations in a Markov Chain Monte Carlo sampler can fasten convergence. We prove that proper resampling from the past does not disturb the limit distribution of the algorithm. We illustrate the method with two examples. The first on a Bayesian...