Gavin J. Gibson

Orcid: 0000-0001-8203-0083

According to our database1, Gavin J. Gibson authored at least 19 papers between 1990 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Bayesian inference for spatio-temporal stochastic transmission of plant disease in the presence of roguing: A case study to characterise the dispersal of Flavescence dorée.
PLoS Comput. Biol., 2023

2019
Model diagnostics and refinement for phylodynamic models.
PLoS Comput. Biol., 2019

2017
A mechanistic spatio-temporal framework for modelling individual-to-individual transmission - With an application to the 2014-2015 West Africa Ebola outbreak.
PLoS Comput. Biol., 2017

2015
A Systematic Bayesian Integration of Epidemiological and Genetic Data.
PLoS Comput. Biol., 2015

2014
Bayesian Analysis for Inference of an Emerging Epidemic: Citrus Canker in Urban Landscapes.
PLoS Comput. Biol., 2014

2008
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

2007
Bayesian Analysis of Lidar Signals with Multiple Returns.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Spatial Modelling of Multi-layered LiDAR Images using Reversible Jump MCMC.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Bayesian estimation for percolation models of disease spread in plant populations.
Stat. Comput., 2006

Creating Multi-layered 3D Images Using Reversible Jump MCMC Algorithms.
Proceedings of the Advances in Visual Computing, Second International Symposium, 2006

2005
Markov Chain Monte Carlo Algorithms for 3D Ranging and Imaging.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2005), 2005

2003
Estimating likelihoods for spatio-temporal models using importance sampling.
Stat. Comput., 2003

2001
Likelihood estimation for stochastic compartmental models using Markov chain methods.
Stat. Comput., 2001

1998
Two algorithms for neural-network design and training with application to channel equalization.
IEEE Trans. Neural Networks, 1998

Exact Classification with Two-layer Neural Nets in N Dimensions.
Discret. Appl. Math., 1998

1996
Exact Classification with Two-Layer Neural Nets.
J. Comput. Syst. Sci., 1996

1993
A combinatorial approach to understanding perceptron capabilities.
IEEE Trans. Neural Networks, 1993

1991
The application of nonlinear structures to the reconstruction of binary signals.
IEEE Trans. Signal Process., 1991

1990
On the decision regions of multilayer perceptrons.
Proc. IEEE, 1990


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