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On confidence intervals in regression that utilize uncertain prior information about a vector parameter
Frequentist confidence interval Prior information Linear regression
2013/4/28
Consider a linear regression model with n-dimensional response vector, p-dimensional regression parameter beta and independent normally distributed errors. Suppose that the parameter of interest is th...
Using prior information to identify boundaries in disease risk maps
Conditional Autoregressive priors Disease mapping Lo-calised spatial smoothing
2012/9/17
Disease maps display the spatial pattern in disease risk, so that high-risk clusters can be identi ed. The spatial structure in the risk map is typically represented by a set of random e ects, which a...
Blending Bayesian and frequentist methods according to the precision of prior information with an application to hypothesis testing
blended inference confidence distribution confidence posterior
2011/7/19
The following zero-sum game between nature and a statistician blends Bayesian methods with frequentist methods such as p-values and confidence intervals. Nature chooses a posterior distribution consis...
Estimation of Population Mean with Prior Information Using Scrambled Response Technique
Estimation Population Mean Prior Information Using Response Technique
2009/9/17
Estimation of Population Mean with Prior Information Using Scrambled Response Technique。