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The classical approach to linear system identification is given by parametric Prediction Error Methods (PEM). In this context, model complexity is often unknown so that a model order selection step is...
The analysis of the joint cumulative distribution function (CDF) with bivariate event time data is a challenging problem both theoretically and numerically. This paper develops a tensor spline-based s...
The smoothing spline is one of the most popular curve-fitting methods, partly because of empirical evidence supporting its effectiveness and partly because of its elegant mathematical formulation. How...
Regression spline is a useful tool in nonparametric regression. However, finding the optimal knot locations is a known difficult problem. In this article, we introduce the Non-concave Penalized Regres...
Consider the problem when $X_1,X_2,..., X_n$ are distributed on a circle following an unknown distribution $F$ on $S^1$. In this article we have consider the absolute general set-up where the density ...
Quantile regression predicts the $\tau$-quantile of the conditional distribution of a response variable given the explanatory variable for $\tau\in(0,1)$. The aim of this paper is to establish the asy...
In this paper, a 13-node pyramid spline element is derived by using the tetrahedron volume coordinates and the B-net method, which achieves the second order completeness in Cartesian coordinates. Some...
北京工业大学计算机图形学课件6-2 B-spline曲线。
In [5] we have announced a h e a r spllne method for nonparametric density and distribution estimation on the real line. In this paper, asymptotic properties of a large family of such estimators a...
We study the nonparametric spline density estimators of probability density. The equivalence of weak convergence for L,-consistency of one density and completely for L,-consistency of all densities...
We introduce a new class of distributions to model directional data, based on hyperspherical log-splines. The class is very exible and can be used to model data that exhibit features that cannot be ...
Intheconjugate priorforthenormallinear model, theprior variancefor the coecients is a multiple of the error variance parameter. However, if the prior mean for the coecients is poorly chosen, the pos...
A Spline Approach to Nonparametric Test of Hypothesis。
提出了一种针对矢量图形的数字水印算法,用于矢量图形的版权保护。算法利用了B-spline良好的持续逼近曲线形状的特点,将水印嵌入到B-spline的控制点坐标中。经实验证明,该算法对于通常的图形几何变换,如平移、旋转、缩放以及局部修改攻击,均有令人满意的鲁棒性。
The possibility of the type of spline function and joint points selected affecting the consistency of the ex-post and ex-ante forecasts were tested using cereal production (1961-2006) and percent cont...

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