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Simon P. Wilson 0001
Person information
- affiliation: University of Dublin, Trinity College, Department of Statistics, Ireland
- affiliation (PhD 1993): George Washington University, Washington, DC, USA
Other persons with the same name
- Simon P. Wilson 0002 — University of Hertfordshire, Numerical Optimisation Centre, Hatfield, UK
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2020 – today
- 2020
- [j14]David Ríos Insua, Fabrizio Ruggeri, Refik Soyer, Simon P. Wilson:
Advances in Bayesian decision making in reliability. Eur. J. Oper. Res. 282(1): 1-18 (2020)
2010 – 2019
- 2019
- [j13]Arnab Bhattacharya, Simon P. Wilson, Refik Soyer:
A Bayesian approach to modeling mortgage default and prepayment. Eur. J. Oper. Res. 274(3): 1112-1124 (2019) - 2018
- [j12]Arnab Bhattacharya, Simon P. Wilson:
Sequential Bayesian inference for static parameters in dynamic state space models. Comput. Stat. Data Anal. 127: 187-203 (2018) - [j11]Chaitanya Joshi, Fabrizio Ruggeri, Simon P. Wilson:
Prior Robustness for Bayesian Implementation of the Fault Tree Analysis. IEEE Trans. Reliab. 67(1): 170-183 (2018) - 2015
- [j10]Alicia Quirós Carretero, Simon P. Wilson, Raquel Montes Diez, Ana Beatriz Solana, Juan Antonio Hernández Tamames:
Brain activity detection by estimating the signal-to-noise ratio of fMRI time series using dynamic linear models. Digit. Signal Process. 47: 205-211 (2015) - 2012
- [j9]Alicia Quirós Carretero, Simon P. Wilson:
Dependent Gaussian mixture models for source separation. EURASIP J. Adv. Signal Process. 2012: 239 (2012) - 2011
- [j8]Katarina Domijan, Simon P. Wilson:
Bayesian kernel projections for classification of high dimensional data. Stat. Comput. 21(2): 203-216 (2011) - [c10]Alicia Quirós Carretero, Simon P. Wilson:
Dependent Gaussian mixture models for source separation. EUSIPCO 2011: 1723-1727 - 2010
- [j7]Alicia Quirós Carretero, Raquel Montes Diez, Simon P. Wilson:
Bayesian spatiotemporal model of fMRI data using transfer functions. NeuroImage 52(3): 995-1004 (2010) - [j6]Ben Flood, Brett Houlding, Simon P. Wilson, Sergiy Vilkomir:
A probability model of system downtime with implications for optimal warranty design. Qual. Reliab. Eng. Int. 26(1): 83-96 (2010) - [j5]Bahman Honari, John Donovan, Toby Joyce, Simon P. Wilson, Eamonn Murphy:
Stress test optimization using an integrated production test and field reliability model. Qual. Reliab. Eng. Int. 26(6): 579-592 (2010) - [c9]Simon P. Wilson, Ercan E. Kuruoglu, Alicia Quirós Carretero:
Bayesian factor analysis using Gaussian mixture sources, with application to separation of the cosmic microwave background. CIP 2010: 198-202 - [c8]Ji Won Yoon, Simon P. Wilson:
Improved Mean Shift Algorithm with Heterogeneous Node Weights. ICPR 2010: 4222-4225 - [c7]Ji Won Yoon, Simon P. Wilson, K. Hun Mok:
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra. AISTATS 2010: 940-947
2000 – 2009
- 2009
- [c6]Brett Houlding, Arnab Bhattacharya, Simon P. Wilson, Tim K. Forde:
A fast Bayesian model for latent radio signal prediction. WiOpt 2009: 1-7 - 2008
- [j4]Simon P. Wilson, Ercan E. Kuruoglu, Emanuele Salerno:
Fully Bayesian Source Separation of Astrophysical Images Modelled by Mixture of Gaussians. IEEE J. Sel. Top. Signal Process. 2(5): 685-696 (2008) - [p2]Simon P. Wilson, Rozenn Dahyot, Pádraig Cunningham:
Introduction to Bayesian Methods and Decision Theory. Machine Learning Techniques for Multimedia 2008: 3-19 - [p1]Simon P. Wilson, Julien Fauqueur, Nozha Boujemaa:
Mental Search in Image Databases: Implicit Versus Explicit Content Query. Machine Learning Techniques for Multimedia 2008: 189-204 - 2007
- [j3]Simon P. Wilson, Francisco J. Samaniego:
Nonparametric Analysis of the Order-Statistic Model in Software Reliability. IEEE Trans. Software Eng. 33(3): 198-208 (2007) - [c5]Simon P. Wilson, Ben Flood, Suresh Goyal, Jim Mosher, Susan Bergin, Joseph O'Brien, Robert Kennedy:
Parameter Estimation for a Model with Both Imperfect Test and Repair. VTS 2007: 271-276 - 2006
- [c4]Simon P. Wilson, Georgios A. Stefanou:
Improving content-based image retrieval by modelling the search process: A Bayesian approach. EUSIPCO 2006: 1-4 - 2004
- [j2]Matt Whiley, Simon P. Wilson:
Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models. Stat. Comput. 14(3): 171-179 (2004) - 2002
- [j1]Dina E. Melas, Simon P. Wilson:
Double Markov random fields and Bayesian image segmentation. IEEE Trans. Signal Process. 50(2): 357-365 (2002) - [c3]Matt Whiley, Simon P. Wilson:
Parallel Algorithms for Bayesian Inference in Spatial Gaussian Models. COMPSTAT 2002: 485-490 - [c2]Simon P. Wilson, Josiane Zerubia:
Unsupervised segmentation of textured satellite and aerial images with Bayesian methods. EUSIPCO 2002: 1-4 - 2001
- [c1]Georgios A. Stefanou, Simon P. Wilson:
Image segmentation using the double Markov random field, with application to land use estimation. ICIP (1) 2001: 742-745
Coauthor Index
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