Compound-Gaussian distributions with inverse Gaussian textures, referred to as the IGCG distributions, are often used model moderate/high-resolution sea clutter in amplitude. In maritime radars, parameter estimation of from radar returns data plays an important role adaptive target detection. Due inevitable existence outliers high amplitude targets and reefs, must be outlier robust. this paper,...

Classical discriminant analysis focusses on Gaussian and nonparametric models where in the second case the unknown densities are replaced by kernel densities based on the training sample. In the present article we assume that it suffices to base the classification on exceedances above higher thresholds, which can be interpreted as observations in a conditional framework. Therefore, the statisti...

This paper provides a scalable, multi-sensor measurement adaptive track initiation technique for labeled random finite set filters. A naive construction of the birth distribution leads to an exponential number newborn components in sensors. truncation criterion is established multi-Bernoulli density. The proposed shown have bounded L1 error generalized posterior used construct Gibbs sampler tha...

In this article, we consider a non-parametric Bayesian approach to multivariate quantile regression. The proposed involves modeling of related conditional distributions response vector given the covariates using Dependent Dirichlet Process (DDP) prior. DDP is used introduce dependence across covariates. flexible covariate-dependent mixture Gaussian kernels gives rise an induced posterior for de...

Methods for simulation from multivariate Gaussian distributions restricted to be from outside an arbitrary ellipsoidal region are often needed in applications. A standard rejection algorithm that draws a sample from a multivariate Gaussian distribution and accepts it if it is outside the ellipsoid is often employed: however, this is computationally inefficient if the probability of that ellipso...

The capacity of the intensity-modulation direct-detection free-space optical broadcast channel (OBC) is investigated. The Gaussian model with input-independent Gaussian noise is used, with both average and peak intensity constraints. An outer bound on the capacity region is derived by adapting Bergmans’ approach to the OBC. Inner bounds are derived by using superposition coding with either trun...