搜索结果: 16-30 共查到“知识库 统计法学”相关记录53条 . 查询时间(2.239 秒)
On the impossibility of constructing good population mean estimators in a realistic Respondent Driven Sampling model
impossibility constructing good population mean estimators realistic Respondent Driven Sampling model
2012/11/22
Current methods for population mean estimation from data collected by Respondent Driven Sampling (RDS) are based on the Horvitz-Thompson estimator together with a set of assumptions on the sampling mo...
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...
We propose a class of nonparametric point estimators for $\theta=P(X
A spatio-spectral hybridization for edge preservation and noisy image restoration via local parametric mixtures and Lagrangian relaxation
Edge preserving smoother Semiparametric mixture model Partition of unity MISE Variational optimization Thin Plate Splines Spectral embedding Local template mod-els Multiple hypothesis testing.
2012/11/22
This paper investigates a fully unsupervised statistical method for edge preserving image restoration and compression using a spatial decomposition scheme. Smoothed maximum likelihood is used for loca...
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 ...
We consider the testing and estimation of change-points -- locations where the distribution abruptly changes -- in a data sequence. A new approach, based on scan statistics utilizing graphs representi...
Identification and well-posedness in nonparametric models with independence conditions
Identification well-posedness nonparametric models independence conditions
2012/11/22
This paper provides a nonparametric analysis for several classes of models, with cases such as classical measurement error, regression with errors in variables, factor models and other models that may...
Restricting exchangeable nonparametric distributions
Restricting exchangeable nonparametric distributions
2012/11/22
Distributions over exchangeable matrices with infinitely many columns, such as the Indian buffet process, are useful in constructing nonparametric latent variable models. However, the distribution imp...
Spatial two tissue compartment model for DCE-MRI
Gaussian Markov randomelds hierarchical Bayesia nmodel multi-compartment models nonlinear regression oncology spatial regularisation
2012/11/22
In the quantitative analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) compartment models allow to describe the uptake of contrast medium with biological meaningful kinetic par...
人才外流促进人力资本积累
人才外流 人力资本积累 格兰杰因果关系检验 向量自回归模型
2012/2/27
在VAR模型框架内,检验了我国人力资本与高教育移民率之间的Granger因果关系,估计了两者之间的传递函数模型,证实了人才外流促进人力资本积累的"正"经济效应的存在,并分析了移民率变化对人力资本存量增长的传递机制。
Uniform Central Limit Theorems for Multidimensional Diffusions
Uniform Central Limit Theorems Multidimensional Diffusions
2010/10/19
It has recently been shown that there are grave differences in the regularity behavior of the empirical process based on scalar diffusions as compared to the classical empirical process, due to the e...
Asymptotic minimax risk of predictive density estimation for non-parametric regression
asymptotic minimax risk convergence rate non-parametric regression
2010/10/19
We consider the problem of estimating the predictive density of future observations from a non-parametric regression model. The density estimators are evaluated under Kullback--Leibler divergence and ...
An empirical Bayes mixture method for effect size and false discovery rate estimation
Empirical Bayes false discovery rate effect size estimation
2010/10/19
Many statistical problems involve data from thousands of parallel cases. Each case has some associated effect size, and most cases will have no effect. It is often important to estimate the effect siz...
On the Existence of the MLE for a Directed Random Graph Network Model with Reciprocation
Algebraic statistics Dyadic independence Exponential random graph model
2010/10/14
Holland and Leinhardt (1981) proposed a directed random graph model, the p1 model, to describe dyadic interactions in a social network. In previous work (Petrovic et al., 2010), we studied the algebra...