Showing 1 - 10 of 11
The paper considers a wide class of semiparametric problems with a parametric part for some covariate effects and repeated evaluations of a nonparametric function. Special cases in our approach include marginal models for longitudinal or clustered data, conditional logistic regression for...
Persistent link: https://www.econbiz.de/10005658851
Smoothing spline estimators are considered for inference in varying-coefficient models with one effect modifying covariate. Bayesian 'confidence intervals' are developed for the coefficient curves and efficient computational methods are derived for computing the curve estimators, fitted values,...
Persistent link: https://www.econbiz.de/10005203066
We suggest two new methods, which are applicable to both deconvolution and regression with errors in explanatory variables, for nonparametric inference. The two approaches involve kernel or orthogonal series methods. They are based on defining a low order approximation to the problem at hand,...
Persistent link: https://www.econbiz.de/10005294592
Persistent link: https://www.econbiz.de/10005203009
Estimation of a regression function is a well-known problem in the context of errors in variables, where the explanatory variable is observed with random noise. This noise can be of two types, which are known as classical or Berkson, and it is common to assume that the error is purely of one of...
Persistent link: https://www.econbiz.de/10005203034
Increasingly, scientific studies yield functional data, in which the ideal units of observation are curves and the observed data consist of sets of curves that are sampled on a fine grid. We present new methodology that generalizes the linear mixed model to the functional mixed model framework,...
Persistent link: https://www.econbiz.de/10005193954
Persistent link: https://www.econbiz.de/10008783790
type="main" xml:id="rssb12066-abs-0001" <title type="main">Summary</title> <p>We consider heteroscedastic regression models where the mean function is a partially linear single-index model and the variance function depends on a generalized partially linear single-index model. We do not insist that the variance function...</p>
Persistent link: https://www.econbiz.de/10011148318
Persistent link: https://www.econbiz.de/10011036395
Microarrays are one of the most widely used high throughput technologies. One of the main problems in the area is that conventional estimates of the variances that are required in the "t"-statistic and other statistics are unreliable owing to the small number of replications. Various methods...
Persistent link: https://www.econbiz.de/10005658876