ABSTRACT Speckle noise is often correlated due to image post-processing or imperfect imaging transfer function. in order to filter correlated speckle noise in a multiscale framework (stationary wavelet decomposition), we propose two approaches, respectively parametric and non parameteric. The first approach is based on a parametric modelisation of the speckle autocorrelation function using a co...

In this paper we propose an approach to color classification and image segmentation in non-stationary environments. Our goal is to cope with changing illumination condition by on-line adapting both the parametric color model and its structure/complexity. Other authors used parametric statistics to model color distribution in segmentation and tracking problems, but with a fixed complexity model....

Model Suppose a set G of genes was sequenced in a collection P of patients, all of whom have the same disease. Each sequenced gene2 g ∈ G partitions the set of patients into two subsets: the P(g), with patients with a mutation in g, and the P̄(g), with patients with no mutation in g. The goal is to identify genes whose mutational status is highly correlated with the survival time, in the sense t...

This paper proposes a new nonparametric test for conditional independence, which is based on the comparison of Bernstein copula densities using the Hellinger distance. The test is easy to implement because it does not involve a weighting function in the test statistic, and it can be applied in general settings since there is no restriction on the dimension of the data. In fact, to apply the tes...

In this paper we propose a nonparametric test for conditional heteroskedasticity based on a new measure of nonparametric goodness-of-fit (R2). In analogy with the ANOVA tools for classical linear regression models, the nonparametric R2 is obtained for the local polynomial regression of the residuals from a parametric regression on some covariates. It is close to 0 under the null hypothesis of c...

A simple method for checking the assumption of identical distribution in a sequence of censored data is presented. It is based on a generalization of Wilcoxon’s rank statistic. The authors demonstrate the usefulness of this technique on the Stanford Heart Transplant and on the Radiation Therapy Oncology Group data. Easy to interpret plots give visual aid to interpret the type of change.

We consider parametric tests for multidimensional ergodic diffusions based on high frequency data. propose two-step testing method diffusion parameters and drift parameters. To construct test statistics of the tests, we utilize adaptive estimator provide three types statistics: likelihood ratio type test, Wald Rao’s score test. It is proved that these converge in distribution to chi-squared und...