Approximations diophantiennes et eutaxie

Exponential Models: Approximations for Probabilities

Welch & Peers (1963) used a root-information prior to obtain posterior probabilities for a scalar parameter exponential model and showed that these Bayes probabilities had the confidence property to second order asymptotically. An important undercurrent of this indicates that the constant information reparameterization provides location model structure, for which the confidence property ...

$varepsilon$-Simultaneous approximations of downward sets

In this paper, we prove some results on characterization of $varepsilon$-simultaneous approximations of downward sets in vector lattice Banach spaces. Also, we give some results about simultaneous approximations of normal sets.

Leptospirose Ovine et Caprine

Strong Approximations

In real stochastic systems, the arrival and service processes may not be renewal processes. For example, in many telecommunication systems such as internet traffic where data traffic is bursty, the sequence of inter-arrival times and service times are often correlated and dependent. One way to model this non-renewal behavior is to use Markovian Arrival Processes (MAP’s) and Markovian Service Pr...

Diffusion Approximations

In this chapter, we shall give an overview of some of the basic applications of the theory of diffusion approximations to operations research. A diffusion approximation is a technique in which a complicated and analytically intractable stochastic process is replaced by an appropriate diffusion process. A diffusion process is a (strong) Markov process having continuous sample paths. Diffusion pr...