35 citations · 120 across the 34 of their papers we have counts for
42 papers
Adaptive-precision computation of custom Gauss quadrature for statistical applications
Paul Kabaila
An -point Gauss quadrature rule approximates the weighted integral of a function by a weighted sum of evaluations of this function and is exact for polynomials of degree at…
Custom-made Gauss quadrature for statisticians
Paul Kabaila
The theory and computational methods for custom-made Gauss quadrature have been described in Gautschi's 2004 monograph. Gautschi has also provided Fortran and MATLAB code for the i…
Confidence intervals in general regression models that utilize uncertain prior information
Paul Kabaila, Nishika Ranathunga
We consider a general regression model, without a scale parameter. Our aim is to construct a confidence interval for a scalar parameter of interest that utilizes the uncertain…
Confidence intervals centred on bootstrap smoothed estimators: an impossibility result
Paul Kabaila, Christeen Wijethunga
Recently, Kabaila and Wijethunga assessed the performance of a confidence interval centred on a bootstrap smoothed estimator, with width proportional to an estimator of Efron's del…
Finite sample properties of the Buckland-Burnham-Augustin confidence interval centered on a model averaged estimator
Paul Kabaila, Alan H. Welsh, Christeen Wijethunga
We consider the confidence interval centered on a frequentist model averaged estimator that was proposed by Buckland, Burnham & Augustin (1997). In the context of a simple testbed…
On confidence intervals centered on bootstrap smoothed estimators
Paul Kabaila, Christeen Wijethunga
Bootstrap smoothed (bagged) estimators have been proposed as an improvement on estimators found after preliminary data-based model selection. Efron, 2014, derived a widely applicab…