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中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH3 Semiparametric Partially Linear Model
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH3 Semiparametric Partially Linear Model
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH3 Semiparametric Partially Linear Model。
A-optimal designs for generalized linear model with two parameters
A-optimal designs generalized linear model two parameters
2015/3/20
A-optimal designs for generalized linear model with two parameters.
Development of a tangent linear model (version 1.0) for the High-Order Method Modeling Environment dynamical core
Development of a tangent linear model the High-Order Method Modeling Environment dynamical core
2014/12/18
We describe development and validation of a tangent linear model for the High-Order Method Modeling Environment, the default dynamical core in the Community Atmosphere Model and the Community Earth Sy...
A Robust Bayesian Dynamic Linear Model to Detect Abrupt Changes in an Economic Time Series: The Case of Puerto Rico
Dynamic Models Consumer Price Index Bayesian Robustness
2013/4/28
Economic indicators time series are usually complex with high frequency data. The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On...
The Relative Efficiency of the Conditional Root Square Estimation of Parameter in Inhomogeneous Equality Restricted Linear Model
Generalized Conditional Root Square Estimation Specific Conditional Root Square Estimation Relative Efficiency
2013/1/30
This paper made a discuss on the relative efficiency of the generalized conditional root square estimation and the specific conditional root square estimation in paper [1,2] in inhomogeneous equality ...
Massive parallelization of serial inference algorithms for a complex generalized linear model
Massive parallelization serial inference algorithms generalized linear model
2012/9/17
Following a series of high-pro le drug safety disasters in recent years, many countries are redoubling their e orts to ensure the safety of licensed medical products. Large-scale observa-tional databa...
Sparse linear (or generalized linear) models combine a standard likelihood func-tion with a sparse prior on the unknown coefficients. These priors can conve-
niently be expressed as a maximization ov...
Minimax adaptive tests for the Functional Linear model
Functional linear regression eigenfunction principal com-ponent analysis adaptive testing minimax hypothesis testing
2012/6/21
We introduce two novel procedures to test the nullity of the slope function in the functional linear model with real output. The test statistics combine multiple testing ideas and random projections o...
Generalized modified least squares in the univariate linear model
Ordinary least squares Modified least squares Generalized modified least squares Univariate linear model
2011/11/9
In this short paper, we mainly aim to appeal to readers to pay close attention to the criterion of modified least squares and develop it to generalized modified least squares. The closed-form of the g...
Consistency of Bayesian Linear Model Selection With a Growing Number of Parameters
Bayesian model selection growing number of parameters Posterior model consistency consistency of Bayes factor consistency of posterior odds ratio Gibbs sampling
2011/3/18
Linear models with a growing number of parameters have been widely used in modern statistics. One important problem about this kind of model is the variable selection issue. Bayesian approaches, which...
Hypoelliptic Estimates for a Linear Model of the Boltzmann Equation without Angular Cutoff
Kinetic equations Boltzmann equation without angular cutoff Regularity
2011/2/25
In this paper, we establish optimal hypoelliptic estimates for a class of kinetic equations, which are linear models for the spatially inhomogeneous Boltzmann equation without angular cutoff.
An analytic comparison of permutation methods for tests of partial regression coefficients in the linear model
analytic comparison permutation methods linear model
2010/9/21
An analytic comparison of permutation methods for tests of partial regression coefficients in the linear model.
An assessment of future extreme precipitation in western Norway using a linear model
extreme precipitation western Norway linear model
2010/12/22
A Linear Model (Smith and Barstad, 2004) was used to dynamically downscale Orographic Precipitation over western Norway from twelve General Circulation Model simulations. The GCM simulations come from...
A Lower Bound on the Estimator Variance for the Sparse Linear Model
Sparsity parameter estimation sparse linear model denoising
2010/12/8
We study the performance of estimators of a sparse nonrandom vector based on an observation which is linearly transformed and corrupted by additive white Gaussian noise.
Consistency of M-estimators in a linear model, generated by nonmonotone and discontinuous psi-functions
Consistency of M-estimators a linear model discontinuous psi-functions
2009/9/23
Consistency of M-estimators in a linear model, generated by nonmonotone and discontinuous psi-functions。