Partitioning degrees of freedom in hierarchical and other richly-parameterized models [0.03%]
层次模型及其他参数丰富的模型中自由度的分割方法
Yue Cui,James S Hodges,Xiaoxiao Kong et al.
Yue Cui et al.
Hodges & Sargent (2001) developed a measure of a hierarchical model's complexity, degrees of freedom (DF), that is consistent with definitions for scatterplot smoothers, interpretable in terms of simple models, and that enables control of a...
Simultaneous Determination of Tuning and Calibration Parameters for Computer Experiments [0.03%]
计算机实验的调节与标定参数的同时确定方法研究
Gang Han,Thomas J Santner,Jeremy J Rawlinson
Gang Han
Tuning and calibration are processes for improving the representativeness of a computer simulation code to a physical phenomenon. This article introduces a statistical methodology for simultaneously determining tuning and calibration parame...
Variable selection in Bayesian smoothing spline ANOVA models: Application to deterministic computer codes [0.03%]
基于贝叶斯光滑张量产品回归的变量选择及其在计算机模拟中的应用
Brian J Reich,Curtis B Storlie,Howard D Bondell
Brian J Reich
With many predictors, choosing an appropriate subset of the covariates is a crucial, and difficult, step in nonparametric regression. We propose a Bayesian nonparametric regression model for curve-fitting and variable selection. We use the ...
A I McLeod,E R Vingilis
A I McLeod
In many intervention analysis applications, time series data may be expensive or otherwise difficult to collect. In this case the power function is helpful, because it can be used to determine the probability that a proposed intervention an...