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In this paper, we study a class of semiparametric mixtures of regression models, in which the regression functions are linear functions of the predictors, but the mixing proportions are smoothing functions of a covariate. We propose a one-step backfit-ting estimation procedure to achieve the optimal convergence rates for both regression parameters and the(More)
When the functional data are not homogeneous, e.g., there exist multiple classes of functional curves in the dataset, traditional estimation methods may fail. In this paper, we propose a new estimation procedure for the Mixture of Gaussian Processes, to incorporate both functional and inhomogeneous properties of the data. Our method can be viewed as a(More)
This paper is concerned with quantile regression for a semiparametric regression model, in which both the conditional mean and conditional variance function of the response given the covariates admit a single-index structure. This semiparametric regression model enables us to reduce the dimension of the covariates and simultaneously retains the flexibility(More)
The study was conducted to evaluate effect of Coriolus versicolor mycelia on degrading starch and improving nutrition value in corn grits through solid state fermentation technique. The results showed that using soybean meal as a nitrogen source, α-amylase secreted from C. versicolor expressed 407.25U/g of activity, leading to 45.15% of starch degraded. The(More)
Detecting how genes regulate biological shape has become a multidisciplinary research interest because of its wide application in many disciplines. Despite its fundamental importance, the challenges of accurately extracting information from an image, statistically modeling the high-dimensional shape and meticulously locating shape quantitative trait loci(More)
A University of California author or department has made this article openly available. Thanks to the Academic Senate's Open Access Policy, a great many UC-authored scholarly publications will now be freely available on this site. Let us know how this access is important for you. We want to hear your story! Abstract Functional linear models are important(More)
Morchella conica is a species of rare edible mushroom whose multiple medicinal functions have been proven. However, reports barely mention the mechanisms of these functions. In this study, the effects of two polysaccharides from M. conica (PMCs) on nitric oxide (NO) production in lipopolysaccharide (LPS)-treated macrophages were investigated. The results(More)
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