25 citations · 61 across the 5 of their papers we have counts for
5 papers
The Linear Lasso: a location model resolution
D. A. S. Fraser, Mylène Bédard
We use location model methodology to guide the least squares analysis of the Lasso problem of variable selection and inference. The nuisance parameter is taken to be an indicator f…
Discussion: On Arguments Concerning Statistical Principles
D. A. S. Fraser
Discussion of "On the Birnbaum Argument for the Strong Likelihood Principle" by Deborah G. Mayo [arXiv:1302.7021].
Second order ancillary: A differential view from continuity
Ailana M. Fraser, D. A. S. Fraser, Ana-Maria Staicu
Second order approximate ancillaries have evolved as the primary ingredient for recent likelihood development in statistical inference. This uses quantile functions rather than the…
Likelihood inference in the presence of nuisance parameters
N. Reid, D. A. S. Fraser
We describe some recent approaches to likelihood based inference in the presence of nuisance parameters. Our approach is based on plotting the likelihood function and the -value…
Inference for bounded parameters
D. A. S. Fraser, N. Reid, A. C. M. Wong
The estimation of signal frequency count in the presence of background noise has had much discussion in the recent physics literature, and Mandelkern [1] brings the central issues…