Schreuder, H.T. and Ouyang, Z.: 1992, ‘Optimal Sampling Strategies for Weighted Linear Regression Estimation’, Can. J. For. Res. 22 , 239–247.Schreuder, H.T. and Ouyang, Z.: 1992, 'Optimal Sampling Strategies for Weighted Linear Regression Estimation', Can. J. For. Res. 22, 239...
Gibbs samplingInverse Bayes formulaeQuantile regressionIn this paper, a non-iterative posterior sampling algorithm for linear quantile regression model based on the asymmetric Laplace distribution is proposed. The algorithm combines the inverse Bayes formulae, sampling/importance resampling and the ...
This paper develops a slice sampler for Bayesian linear regression models with arbitrary priors. The new sampler has two advantages over current approaches. One, it is faster than many custom implementations that rely on auxiliary latent variables, if the number of regressors is large. Two, it ...
The linear intersect combustibles sampling method is used for combustibles measurement in different diameter grades. 地表可燃物载量调查采用线状相交可燃物取样调查方法,按不同径级调查可燃物载量. 互联网 展开全部 行业词典 生态学 取样方法 通过调查种群的部分,根据所得数据推广用于估计种群整体的方法。 释义 ...
Monte Carlo MethodDouble SamplingMean Square ErrorsRegression EstimatorsIn this study, we made use of a particular linear regression model for three regression and mean per unit estimators and from the estimated mean square errors obtained on these estimators through simulation, we observed that one ...
For example, there is no general method that can compute bounds on the variation of the image function between two points on the film plane. While an image could be generated by just sampling the function precisely at the pixel positions, a better result can be obtained by taking more ...
A routine high-precision method for Lu-Hf isotope geochemistry and chronology. Contrib. Mineral. Petrol. 75, 263–267 (1981). Article ADS CAS Google Scholar Stracke, A. Earth’s heterogeneous mantle: A product of convection-driven interaction between crust and mantle. Chem. Geol. 330–331,...
In this paper, we propose a new stochastic gradient method for numerical minimization of finite sums. We also propose a modified version of this method applicable on more general problems referred to as infinite sum problems, where the objective function is in the form of mathematical expectation....
Simpler regression schemes5 can replace neural networks15 when the cost of sampling trajectories severely limits the volume of training data. Defining the boundaries of the metastable states, as required by our method, can be non-trivial. To refine the state definitions, the committor framework can...
The direct sampling method proposed by Walker et al. (JCGS 2011) can generate draws from weighted distributions possibly having intractable normalizing con