151 citations · 692 across the 40 of their papers we have counts for
6 papers · 1 filter
Goodness of fit in nonlinear dynamics: Misspecified rates or misspecified states?
Giles Hooker, Stephen P. Ellner
This paper introduces diagnostic tests for the nature of lack of fit in ordinary differential equation models (ODEs) proposed for data. We present a hierarchy of three possible sou…
Restricted Likelihood Ratio Tests for Linearity in Scalar-on-Function Regression
Mathew W. McLean, Giles Hooker, David Ruppert
We propose a procedure for testing the linearity of a scalar-on-function regression relationship. To do so, we use the functional generalized additive model (FGAM), a recently deve…
Hellinger Distance and Bayesian Non-Parametrics: Hierarchical Models for Robust and Efficient Bayesian Inference
Yuefeng Wu, Giles Hooker
This paper introduces a hierarchical framework to incorporate Hellinger distance methods into Bayesian analysis. We propose to modify a prior over non-parametric densities with the…
On the Identifiability of the Functional Convolution Model
Giles Hooker
This report details conditions under which the Functional Convolution Model described in \citet{AHG13} can be identified from Ordinary Least Squares estimates without either dimens…
Consistency, efficiency and robustness of conditional disparity methods
Giles Hooker
This paper considers extensions of minimum-disparity estimators to the problem of estimating parameters in a regression model that is conditionally specified; that is where a param…
Bayesian Functional Generalized Additive Models with Sparsely Observed Covariates
Mathew W. McLean, Fabian Scheipl, Giles Hooker +2
The functional generalized additive model (FGAM) was recently proposed in McLean et al. (2013) as a more flexible alternative to the common functional linear model (FLM) for regres…