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On the impossibility of constructing good population mean estimators in a realistic Respondent Driven Sampling model
impossibility constructing good population mean estimators realistic Respondent Driven Sampling model
2012/11/22
Current methods for population mean estimation from data collected by Respondent Driven Sampling (RDS) are based on the Horvitz-Thompson estimator together with a set of assumptions on the sampling mo...
A method for generating realistic correlation matrices
method generating realistic correlation matrices
2011/7/6
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as generating normal data and finding their sample correlation matrix or generating random uniform $[-1...
Multiple testing, uncertainty and realistic pictures
Image analysis signal detection image recon-struction percolation noisy image shape constraints unsupervised ma-chine learning spatial statistics multiple testing
2011/3/24
We study statistical detection of grayscale objects in noisy images. The object of interest is of unknown shape and has an unknown intensity, that can be varying over the object and can be negative. N...
A practical illustration of the importance of realistic individualized treatment rules in causal inference
Experimental Treatment Assignment assumption positivity assumption dynamic treatment rules physical activity
2009/9/16
The effect of vigorous physical activity on mortality in the elderly is difficult to estimate using conventional approaches to causal inference that define this effect by comparing the mortality risks...