The probabilities of rare events have interest in some network and risk problems and, in this paper, we concentrate our attention on some level crossing probabilities for Brownian motion and for Poisson process. We are interested in large deviation estimates and we present the Bayesian and the frequentist approaches which lead to different conclusions; more precisely, as argued in other works in the literature on this topic, the Bayesian approach is more conservative. In the Bayesian framework we always deal with conjugate families of prior distributions
This paper takes up three parametric cases-the normal, Poisson, exponential cases-in order to study ...
We consider generalized logarithmic means of some multivariate random variables. We prove two large...
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic...
The probabilities of rare events have interest in some network and risk problems and, in this pa...
The probabilities of rare events have interest in some network and risk problems and, in this pa...
In this paper we present asymptotic estimates of level crossing probabilities from a Bayesian point ...
The problem of (pathwise) large deviations for conditionally continuous Gaussian processes is invest...
The theory of large deviations deals with rates at which probabilities of certain events decay as a ...
This paper takes up three parametric cases?the normal, Poisson, ex-ponential cases?in order to study...
In this paper we consider first-order autoregressive processes and we allow either centered Normal ...
In this paper we consider first-order autoregressive processes and we allow either centered Normal ...
We study two-layer belief networks of binary random variables in which the conditional probabilities...
The theory of large deviations deals with rates at which probabilities of certain events decay as a ...
In this paper we present some large deviation results for compound Markov renewal processes. We star...
In this paper we present some large deviation results for compound Markov renewal processes. We star...
This paper takes up three parametric cases-the normal, Poisson, exponential cases-in order to study ...
We consider generalized logarithmic means of some multivariate random variables. We prove two large...
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic...
The probabilities of rare events have interest in some network and risk problems and, in this pa...
The probabilities of rare events have interest in some network and risk problems and, in this pa...
In this paper we present asymptotic estimates of level crossing probabilities from a Bayesian point ...
The problem of (pathwise) large deviations for conditionally continuous Gaussian processes is invest...
The theory of large deviations deals with rates at which probabilities of certain events decay as a ...
This paper takes up three parametric cases?the normal, Poisson, ex-ponential cases?in order to study...
In this paper we consider first-order autoregressive processes and we allow either centered Normal ...
In this paper we consider first-order autoregressive processes and we allow either centered Normal ...
We study two-layer belief networks of binary random variables in which the conditional probabilities...
The theory of large deviations deals with rates at which probabilities of certain events decay as a ...
In this paper we present some large deviation results for compound Markov renewal processes. We star...
In this paper we present some large deviation results for compound Markov renewal processes. We star...
This paper takes up three parametric cases-the normal, Poisson, exponential cases-in order to study ...
We consider generalized logarithmic means of some multivariate random variables. We prove two large...
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic...