Nonlinear regression analysis holds significant popularity in mathematical, engineering, and social science domains. Disciplines like financial matters, biology, natural chemistry have broadly utilized nonlinear models (NLRMs). Cloned datasets their own importance such areas which provide the same fit of bivariate multivariate for actual datasets. This article presents a sequence cloned that gi...

PharmML is an XML-based exchange format created with a focus on nonlinear mixed-effect (NLME) models used in pharmacometrics, but providing a very general framework that also allows describing mathematical and statistical models such as single-subject or nonlinear and multivariate regression models. This tutorial provides an overview of the structure of this language, brief suggestions on how t...

As one of important nonparametric regression method, support vector regression can achieve nonlinear capability by kernel trick. This paper discusses multivariate support vector regression when its regression function is restricted to be convex. This paper approximates this convex shape restriction with a series of linear matrix inequality constraints and transforms its training to a semidefini...

In this paper, we propose a novel multivariate component-wise boosting method for fitting multivariate response regression models under the high-dimension, low sample size setting. Our method is motivated by modeling the association among different biological molecules based on multiple types of high-dimensional genomic data. Particularly, we are interested in two applications: studying the inf...

background: few investigations have focused on the patients with lupus nephritis (ln) and neuropsychiatric systemic lupus erythematosus (npsle). this study was aimed to investigate the clinical features, mortality, and the predictors for mortality of this group of patients. patients and methods: medical records were retrospectively reviewed in sun yat-sen memorial hospital from 1996 to 2012. da...