R. H. Mladineo, “An Algorithm for Finding the Global Maximum of Multimodal, Multivariate Function,” Mathematical Programming, Vol. 34, No. 2, 1986, pp. 188-200 ...

Cacoullos (1964) generalized Parzen's work to the multivariate case. The work in this paper arose out of work on the nonparametric discrimination problem. The purpose of the Institute of Mathematical ...

This paper studies some asymptotic properties of density estimates f̂ of f based on d-variate delta sequences. The mean-square consistency, almost sure consistency, and asymptotic normality of f̂ have ...

Consequently, the multivariate optimization problem can be expressed as a function of the scalar Gaussian RDPFs of the source marginals, constrained by global distortion and perception levels.

Recent advances in estimation techniques have underscored the growing importance of shrinkage estimation and balanced loss functions in the analysis of multivariate normal distributions.

2. Overview of fundamental mathematical and computational tools a. Review of Linear Algebra, probability and statistics b. Calculus of multivariate functions, Taylor series and local function ...

An optimization model based upon multivariate analysis was developed to capture hepatic specific function in relation to the environmental condition and the intracellular metabolic network and the ...