搜索结果: 1-13 共查到“统计学 B-spline”相关记录13条 . 查询时间(0.094 秒)
Linear system identification using stable spline kernels and PLQ penalties
linear system identification bias-variance trade off kernel-based regularization robust statistics interior point methods piecewise linear quadratic densities
2013/4/27
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...
Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data
Bivariate current status data constrained maximum likelihood estimation empirical process sieve maximum likelihood estimation tensor spline basis functions
2012/11/23
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...
Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations
Adaptive smoothing Markov chain Monte Carlo Smoothing spline Stochastic dierential equation
2012/11/22
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...
Nonconcave Penalized Spline
Splines Nonparametric regression Non-concave penalized least square Power-basis Knots selection Additive model.
2012/11/22
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...
Spline Smoothing for Estimation of Circular Probability Distributions via Spectral Isomorphism and its Spatial Adaptation
Non-parametric density estimation circular data Smoothing Spline empirical Fourier coeffcients Fourier Basis Detection of Localisation Edge preserving function estima-tion
2012/11/22
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 ...
Asymptotics for penalized spline estimators in quantile regression
Asymptotic normality, B-spline,Penalized spline,Quantile regression
2012/11/22
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...
Asymptotic nonparametric spline density estimation
Asymptotic nonparametric spline density estimation
2009/9/23
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...
Equivalent conditions for the consistency of nonparametric spline density estimators
Equivalent conditions the consistency of nonparametric spline density estimators
2009/9/23
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...
Directional Log-Spline Distributions
Directional distributions hyperspherical splines mixture of distributions prior matching von Mises distributions
2009/9/22
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 ...
Misinformation in the conjugate prior for the linear model with implications for free-knot spline modelling
Bayes factor BIC model selection nonparametric regression unit information prior
2009/9/21
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
A Spline Approach Nonparametric Test Hypothesis
2009/9/17
A Spline Approach to Nonparametric Test of Hypothesis。
Un résultat de consistance pour des SVM fonctionnels par interpolation spline
Un résultat consistance pour SVM fonctionnels interpolation spline
2010/4/29
This note proposes a new methodology for function classification with Support Vector Machine (SVM). Rather than relying on projection on a truncated Hilbert basis as in our previous work, we use an im...
Spline Single-Index Prediction Model
B-spline geometric mixing knots nonparametric regression root-n rate strong consistency
2010/4/27
For the past two decades, single-index model, a special case of projection pursuit regression,
has proven to be an efficient way of coping with the high dimensional problem in nonparametric
regressi...