408 citations · 515 across the 20 of their papers we have counts for
5 papers · 1 filter
Sequential Bayesian Monitoring for Recoverable and Drifting Processes
Gordon J. Ross
In many Phase II statistical process control (SPC) problems, the main concern is not whether a monitored process has ever changed, but whether it is currently operating at an accep…
dirichletprocess: An R Package for Fitting Complex Bayesian Nonparametric Models
Gordon J. Ross, Dean Markwick, Priyanshu Tiwari
The dirichletprocess package provides software for creating flexible Dirichlet process objects. Users can perform nonparametric Bayesian analysis using Dirichlet processes without…
A Point Mass Proposal Method for Bayesian State-Space Model Fitting
Mary Llewellyn, Ruth King, Víctor Elvira +1
State-space models (SSMs) are commonly used to model time series data where the observations depend on an unobserved latent process. However, inference on the model parameters of a…
Semiparametric Bayesian Forecasting of Spatial Earthquake Occurrences
Aleksandar A. Kolev, Gordon J. Ross
Self-exciting Hawkes processes are used to model events which cluster in time and space, and have been widely studied in seismology under the name of the Epidemic Type Aftershock S…
Sequential Monitoring of a Bernoulli Sequence when the Pre-change Parameter is Unknown
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
The task of monitoring for a change in the mean of a sequence of Bernoulli random variables has been widely studied. However most existing approaches make at least one of the follo…