James E. Stafford
YOU?
Author Swipe
View article: Local Polynomial Lp-norm Regression
Local Polynomial Lp-norm Regression Open
The local least squares estimator for a regression curve cannot provide optimal results when non-Gaussian noise is present. Both theoretical and empirical evidence suggests that residuals often exhibit distributional properties different f…
View article: Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process Open
Quasi-periodicity refers to a pattern in a function where it appears periodic at a certain frequency but exhibits evolving amplitudes over time. This is often the case in practical settings such as the modeling of case counts of infectious…
View article: The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data
The root-Gaussian Cox Process for spatial-temporal disease mapping with aggregated data Open
The study of aggregated data influenced by time, space, and extra changes in geographic region borders was the main emphasis of the current paper. This may occur if the regions used to count the reported incidences of a health outcome over…
View article: Model-Based Smoothing with Integrated Wiener Processes and Overlapping Splines
Model-Based Smoothing with Integrated Wiener Processes and Overlapping Splines Open
In many applications that involve the inference of an unknown smooth function, the inference of its derivatives is also important. To make joint inferences of the function and its derivatives, a class of Gaussian processes called pth order…
View article: Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process Open
Quasi-periodicity refers to a pattern in a function where it appears periodic but has evolving amplitudes over time. This is often the case in practical settings such as the modeling of case counts of infectious disease or the population d…
View article: Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process Open
Quasi-periodicity refers to a pattern in a function where it appears periodic but has evolving amplitudes over time. This is often the case in practical settings such as the modeling of case counts of infectious disease or the carbon dioxi…
View article: Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines
Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines Open
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 make joint inferences of the function and its derivatives, a…
View article: Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines
Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines Open
In many applications that involve the inference of an unknown smooth function, the inference of its derivatives is also important. To make joint inferences of the function and its derivatives, a class of Gaussian processes called pth order…
View article: Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations
Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations Open
We propose a flexible and scalable approximate Bayesian inference methodology for the Cox Proportional Hazards model with partial likelihood. The model we consider includes nonlinear covariate effects and correlated survival times. The pro…
View article: Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models Open
We define a novel class of additive models, called Extended Latent Gaussian\nModels, that allow for a wide range of response distributions and flexible\nrelationships between the additive predictor and mean response. The new class\ncovers …
View article: Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models
Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models Open
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 additive predictor and mean response. The new class covers a b…
View article: Competition in World Politics
Competition in World Politics Open
The »return of great power competition« between (among others) the US, China, Russia and the EU is a major topic in contemporary public debate. But why do we think of world politics in terms of »competition«? Which information and which ru…
View article: The root-Gaussian Cox process and a generalized EMS algorithm
The root-Gaussian Cox process and a generalized EMS algorithm Open
We propose a root-Gaussian Cox process for the analysis of data that is aggregated in space and where the boundaries of geographic regions change over time. A generalized EMS algorithm exploits sparse structure resulting in significant com…
View article: A local-EM algorithm for spatio-temporal disease mapping with aggregated data
A local-EM algorithm for spatio-temporal disease mapping with aggregated data Open
Spatial data on disease incidence locations are often aggregated to regional counts to preserve privacy, and spatio-temporal modelling of such can be problematic when there are boundary changes over the study period. Here an inhomogeneous …
View article: Texas Business Review, April 1961
Texas Business Review, April 1961 Open
The Business Situation in Texas; Oil in Texas--A Perspective; From Dollar Shortage to Dollar Glut - A Reappraisal; School Construction Pace Quickens; Impact of the Compacts; Dairying in Texas
View article: Texas Business Review, April 1962
Texas Business Review, April 1962 Open
The Business Situation in Texas; Three States of Farming: Texas, Russia and China; Home Building, 1962: A Trend Toward Value; Behind the NASA Move to Houston