搜索结果: 1-7 共查到“semiparametric regression”相关记录7条 . 查询时间(0.043 秒)
ZONAL AND REGIONAL LOAD FORECASTING IN THE NEW ENGLAND WHOLESALE ELECTRICITY MARKET: A SEMIPARAMETRIC REGRESSION APPROACH
Load Forecasting Penalized Splines Mixed
2014/11/11
Power system planning, reliability analysis and economically efficient capacity scheduling all rely heavily on electricity demand forecasting models. In the context of a deregulated wholesale electric...
Real-time semiparametric regression
Approximate Bayesian inference Generalized additive models Meaneld vari-ational Bayes Mixed models Online variational Bayes Penalized splines Wavelets
2012/11/22
We develop algorithms for performing semiparametric regression analysis in real time, with data processed as it is collected and made immediately available via modern telecommunications technologies. ...
Strong Convergence Rates of Wavelet Estimators in Semiparametric Regression Models with Censored Data
Semiparametric regression model Wavelet estimate Censored data Law of the iterated logarithm Strong uniform convergence rate
2008/11/10
The paper studies a semiparametric regression model
Yi Xi = Xiβ+gT +ei, i = 1,2,L,n .
where Yi is censored on the right by another random variable Ci with known or unknown distribution G . First...
NONMRAMETRIC AND SEMIPARAMETRIC REGRESSION MODELS WITH LOCALLY GENERALIZED GAUSSIAN ERROR
Nonparametric semiparametric regression
2007/8/7
Under a locally generalized Gaussian error's structure, we obtain strong uniform consistency for nonparametric regression function estimators and strong consistency for parametric component estimators...
ON BAHADUR ASYMPTOTIC EFFICIENCY IN A SEMIPARAMETRIC REGRESSION MODEL
bahadur asymptotic efficiency sendparam
2007/8/7
In this paper, authors consider Bahadur asymptotic efficiency of MLE {\bar β}_{ML} of β, which is an unknown parameter vector in the semiparametric regression model Y_i=X_i~T β + g(T_i) + i, where g i...
This paper deals with M-estimators for a semiparametric regression model Y=X^tβ_0 + g_0(T) + e,where Y is real-valued, T ranges over a nondegenerate compact interval, X ∈R^d, e is a random error, β_0 ...
On semiparametric regression with O'Sullivan penalised splines
Additive models Markov chain Monte Carlo Mixed models P-splines Smoothing splines
2010/4/30
This is an expos´e on the use of O’Sullivan penalised splines in contemporary semiparametric
regression, including mixed model and Bayesian formulations. O’Sullivan penalised
splines are simil...