17 citations · 43 across the 13 of their papers we have counts for
8 papers · 1 filter
Testing linear combinations of multiple variance components
Alex Stringer, Jeffrey Negrea
We test the hypothesis that simulataneous linear contrasts of multiple variance components equal zero in a Gaussian variance components model via a parametric bootstrap. Applicatio…
Estimating Associations Between Cumulative Exposure and Health via Generalized Distributed Lag Non-Linear Models using Penalized Splines
Tianyi Pan, Hwashin Hyun Shin, Glen McGee +1
Quantifying associations between short-term exposure to ambient air pollution and health outcomes is an important public health priority. Many studies have investigated the associa…
Case-crossover designs and overdispersion with application in air pollution epidemiology
Samuel Perreault, Gracia Y. Dong, Alex Stringer +2
Over the last three decades, case-crossover designs have found many applications in health sciences, especially in air pollution epidemiology. They are typically used, in combinati…
Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines
Ziang Zhang, Alex Stringer, Patrick Brown +1
In many applications that involve the inference of an unknown smooth function, the inference of its derivatives will often be just as important as that of the function itself. To m…
Flexible Marginal Models for Dependent Data
Glen McGee, Alex Stringer
Models for dependent data are distinguished by their targets of inference. Marginal models are useful when interest lies in quantifying associations averaged across a population of…
Asymptotics of numerical integration for two-level mixed models
Alex Stringer, Blair Bilodeau, Yanbo Tang
We study mixed models with a single grouping factor, where inference about unknown parameters requires optimizing a marginal likelihood defined by an intractable integral. Low-dime…
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models
Alex Stringer, Patrick Brown, Jamie Stafford
We define a novel class of additive models, called Extended Latent Gaussian Models, that allow for a wide range of response distributions and flexible relationships between the add…
Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference
Blair Bilodeau, Alex Stringer, Yanbo Tang
We provide the first stochastic convergence rates for a family of adaptive quadrature rules used to normalize the posterior distribution in Bayesian models. Our results apply to th…