Simon P. Wilson

According to our database, Simon P. Wilson authored at least 25 papers between 2001 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Advances in Bayesian decision making in reliability.

David Ríos Insua, Fabrizio Ruggeri, Refik Soyer, Simon P. Wilson

Eur. J. Oper. Res., 2020

2019

A Bayesian approach to modeling mortgage default and prepayment.

Arnab Bhattacharya, Simon P. Wilson, Refik Soyer

Eur. J. Oper. Res., 2019

2018

Prior Robustness for Bayesian Implementation of the Fault Tree Analysis.

Chaitanya Joshi, Fabrizio Ruggeri, Simon P. Wilson

IEEE Trans. Reliab., 2018

Sequential Bayesian inference for static parameters in dynamic state space models.

Arnab Bhattacharya, Simon P. Wilson

Comput. Stat. Data Anal., 2018

2015

Brain activity detection by estimating the signal-to-noise ratio of fMRI time series using dynamic linear models.

Alicia Quirós Carretero, Simon P. Wilson, Raquel Montes Diez, Ana Beatriz Solana, Juan Antonio Hernández Tamames

Digit. Signal Process., 2015

2012

Dependent Gaussian mixture models for source separation.

Alicia Quirós Carretero, Simon P. Wilson

EURASIP J. Adv. Signal Process., 2012

2011

Bayesian kernel projections for classification of high dimensional data.

Katarina Domijan, Simon P. Wilson

Stat. Comput., 2011

2010

Stress test optimization using an integrated production test and field reliability model.

Bahman Honari, John Donovan, Toby Joyce, Simon P. Wilson, Eamonn Murphy

Qual. Reliab. Eng. Int., 2010

A probability model of system downtime with implications for optimal warranty design.

Ben Flood, Brett Houlding, Simon P. Wilson, Sergiy Vilkomir

Qual. Reliab. Eng. Int., 2010

Bayesian spatiotemporal model of fMRI data using transfer functions.

Alicia Quirós Carretero, Raquel Montes Diez, Simon P. Wilson

NeuroImage, 2010

A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra.

Ji Won Yoon, Simon P. Wilson, K. Hun Mok

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Improved Mean Shift Algorithm with Heterogeneous Node Weights.

Ji Won Yoon, Simon P. Wilson

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background.

Simon P. Wilson, Ercan E. Kuruoglu, Alicia Quirós Carretero

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009

A fast Bayesian model for latent radio signal prediction.

Brett Houlding, Arnab Bhattacharya, Simon P. Wilson, Tim K. Forde

Proceedings of the 7th International Symposium on Modeling and Optimization in Mobile, 2009

2008

Mental Search in Image Databases: Implicit Versus Explicit Content Query.

Simon P. Wilson, Julien Fauqueur, Nozha Boujemaa

Proceedings of the Machine Learning Techniques for Multimedia, 2008

Introduction to Bayesian Methods and Decision Theory.

Simon P. Wilson, Rozenn Dahyot, Pádraig Cunningham

Proceedings of the Machine Learning Techniques for Multimedia, 2008

Fully Bayesian Source Separation of Astrophysical Images Modelled by Mixture of Gaussians.

Simon P. Wilson, Ercan E. Kuruoglu, Emanuele Salerno

IEEE J. Sel. Top. Signal Process., 2008

2007

Nonparametric Analysis of the Order-Statistic Model in Software Reliability.

Simon P. Wilson, Francisco J. Samaniego

IEEE Trans. Software Eng., 2007

Parameter Estimation for a Model with Both Imperfect Test and Repair.

Simon P. Wilson, Ben Flood, Suresh Goyal, Jim Mosher, Susan Bergin, Joseph O'Brien, Robert Kennedy

Proceedings of the 25th IEEE VLSI Test Symposium (VTS 2007), 2007

2006

Improving content-based image retrieval by modelling the search process: A Bayesian approach.

Simon P. Wilson, Georgios A. Stefanou

Proceedings of the 14th European Signal Processing Conference, 2006

2004

Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models.

Matt Whiley, Simon P. Wilson

Stat. Comput., 2004

2002

Double Markov random fields and Bayesian image segmentation.

Dina E. Melas, Simon P. Wilson

IEEE Trans. Signal Process., 2002

Unsupervised segmentation of textured satellite and aerial images with Bayesian methods.

Simon P. Wilson, Josiane Zerubia

Proceedings of the 11th European Signal Processing Conference, 2002

Parallel Algorithms for Bayesian Inference in Spatial Gaussian Models.

Matt Whiley, Simon P. Wilson

Proceedings of the COMPSTAT 2002, 2002

2001

Image segmentation using the double Markov random field, with application to land use estimation.

Georgios A. Stefanou, Simon P. Wilson

Proceedings of the 2001 International Conference on Image Processing, 2001