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Dan Cornford
Dan Cornford
Verified email at aston.ac.uk
Title
Cited by
Cited by
Year
Gaussian process approximations of stochastic differential equations
C Archambeau, D Cornford, M Opper, J Shawe-Taylor
Gaussian Processes in Practice, 1-16, 2007
1792007
Managing uncertainty in integrated environmental modelling: The UncertWeb framework
L Bastin, D Cornford, R Jones, GBM Heuvelink, E Pebesma, C Stasch, ...
Environmental Modelling & Software 39, 116-134, 2013
1782013
How good are citizen weather stations? Addressing a biased opinion
S Bell, D Cornford, L Bastin
Weather 70 (3), 75-84, 2015
1222015
The state of automated amateur weather observations
S Bell, D Cornford, L Bastin
Weather 68 (2), 36-41, 2013
1142013
Variational inference for diffusion processes
C Archambeau, M Opper, Y Shen, D Cornford, J Shawe-Taylor
Advances in neural information processing systems 20, 2007
1112007
Health informatics deployment in Nigeria
P Idowu, D Cornford, L Bastin
Journal of Health Informatics in Developing Countries 2 (1), 2008
1042008
INTAMAP: the design and implementation of an interoperable automated interpolation web service
E Pebesma, D Cornford, G Dubois, GBM Heuvelink, D Hristopulos, J Pilz, ...
Computers & Geosciences 37 (3), 343-352, 2011
1032011
Automatic processing, quality assurance and serving of real-time weather data
M Williams, D Cornford, L Bastin, R Jones, S Parker
Computers & Geosciences 37 (3), 353-362, 2011
572011
A comparison between spatial winter indices and expenditure on winter road maintenance
D Cornford, JE Thornes
International Journal of Climatology 16 (3), 339-357, 1996
501996
An integrated view of data quality in Earth observation
X Yang, JD Blower, L Bastin, V Lush, A Zabala, J Masó, D Cornford, ...
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013
472013
Neural network-based wind vector retrieval from satellite scatterometer data
D Cornford, IT Nabney, CM Bishop
Neural computing & applications 8, 206-217, 1999
471999
Bayesian analysis of the scatterometer wind retrieval inverse problem: some new approaches
D Cornford, L Csató, DJ Evans, M Opper
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2004
402004
Outlier detection in scatterometer data: neural network approaches
RJ Bullen, D Cornford, IT Nabney
Neural Networks 16 (3-4), 419-426, 2003
392003
Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations
MD Vrettas, M Opper, D Cornford
Physical Review E 91 (1), 012148, 2015
382015
Uncertainty markup language (UncertML)
M Williams, D Cornford, L Bastin, E Pebesma
Open Geospatial Consortium (OGC), 2009
382009
Optimal design for correlated processes with input-dependent noise
A Boukouvalas, D Cornford, M Stehlík
Computational Statistics & Data Analysis 71, 1088-1102, 2014
352014
Learning heteroscedastic Gaussian processes for complex datasets
A Boukouvalas, D Cornford
Group 44 (0), 2009
332009
Sequential, Bayesian geostatistics: a principled method for large data sets
D Cornford, L Csató, M Opper
Geographical Analysis 37 (2), 183-199, 2005
322005
Modelling frontal discontinuities in wind fields
D Cornford, IT Nabney, CKI Williams
Journal of nonparametric statistics 14 (1-2), 43-58, 2002
322002
Estimating parameters in stochastic systems: A variational Bayesian approach
MD Vrettas, D Cornford, M Opper
Physica D: Nonlinear Phenomena 240 (23), 1877-1900, 2011
292011
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