#### Filter Results:

- Full text PDF available (24)

#### Publication Year

2001

2018

- This year (11)
- Last 5 years (38)
- Last 10 years (68)

#### Publication Type

#### Co-author

#### Journals and Conferences

Learn More

Abstract.To measure the dependence between a real-valued random variable X and a σ-algebra , we consider four distances between the conditional distribution function of X given and the distribution… (More)

Let X be a real-valued random variable and M a σ -algebra. We show that the minimum L-distance between X and a random variable distributed as X and independant of M can be viewed as a dependence… (More)

We prove a central limit theorem for the d-dimensional distribution function of a class of stationary sequences. The conditions are expressed in terms of some coefficients which measure the… (More)

This paper deals with the problem of estimating the level sets L(c) = {F (x) ≥ c}, with c ∈ (0, 1), of an unknown distribution function F on R2+. A plug-in approach is followed. That is, given a… (More)

We compute some dependence coefficients for the stationary M rkov chain whose transition kernel is the Perron-Frobenius operator o f an expanding mapT of [0, 1] with a neutral fixed point. We use… (More)

We consider some risk indicators of vectorial risk processes. These indicators take into account the dependencies between business lines as well as some temporal dependencies. By using stochastic… (More)

- Alexandros Makris, Clémentine Prieur
- IEEE Transactions on Geoscience and Remote…
- 2014

This paper presents a Bayesian model for the multiple-target tracking problem that handles a varying number of splitting and merging targets applied to convective cloud tracking. The model decomposes… (More)

Global sensitivity analysis is often impracticable for complex and resource intensive numerical models, as it requires a large number of runs. The metamodel approach replaces the original model by an… (More)

In this paper we prove a Central Limit Theorem for standard kernel estimates of the invariant density of one-dimensional dynamical systems. The two main steps of the proof of this theorem are the… (More)