E P HUTCHINSON,E RUBIN
E P HUTCHINSON
R J JESSEN,R H BLYTHE Jr, et al.
R J JESSEN
L F KNUDSEN,J M CURTIS
L F KNUDSEN
Bayesian Wombling: Curvilinear Gradient Assessment Under Spatial Process Models [0.03%]
贝叶斯Wombling问题：空间过程模型下曲线梯度评估方法
Sudipto Banerjee,Alan E Gelfand
Sudipto Banerjee
Large-scale inference for random spatial surfaces over a region using spatial process models has been well studied. Under such models, local analysis of the surface (e.g., gradients at given points) has received recent attention. A more amb...
Density Estimation for Protein Conformation Angles Using a Bivariate von Mises Distribution and Bayesian Nonparametrics [0.03%]
基于二元冯·米塞斯分布和贝叶斯非参数的蛋白质构象角度密度估计
Kristin P Lennox,David B Dahl,Marina Vannucci et al.
Kristin P Lennox et al.
Interest in predicting protein backbone conformational angles has prompted the development of modeling and inference procedures for bivariate angular distributions. We present a Bayesian approach to density estimation for bivariate angular ...
A Unified Approach to Nonparametric Comparison of Receiver Operating Characteristic Curves for Longitudinal and Clustered Data [0.03%]
纵向和聚类数据的受试者操作特性曲线非参数比较的统一方法研究
Gang Li,Kefei Zhou
Gang Li
We present a unified approach to nonparametric comparisons of receiver operating characteristic (ROC) curves for a paired design with clustered data. Treating empirical ROC curves as stochastic processes, their asymptotic joint distribution...
Vanja M Dukić,Edsel A Peña
Vanja M Dukić
This paper considers the problem of estimating the dispersion parameter in a Gaussian model which is intermediate between a model where the mean parameter is fully known (fixed) and a model where the mean parameter is completely unknown. On...