Articles with public access mandates - Alireza DaneshkhahLearn more
Not available anywhere: 3
Robustness of maintenance decisions: Uncertainty modelling and value of information
A Zitrou, T Bedford, A Daneshkhah
Reliability Engineering & System Safety 120, 60-71, 2013
Mandates: UK Engineering and Physical Sciences Research Council
Probabilistic sensitivity analysis of system availability using Gaussian processes
A Daneshkhah, T Bedford
Reliability Engineering & System Safety 112, 82-93, 2013
Mandates: UK Engineering and Physical Sciences Research Council
Uncertainty Quantification of PDE-based models using Deep Gaussian Processes and Variational Bayesian Inference
M Fanous, O Chatrabgoun, M Esmaeilbeigi, HY Nezhad, A Daneshkhah
Mandates: UK Engineering and Physical Sciences Research Council
Available somewhere: 8
Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model
A Daneshkhah, R Remesan, O Chatrabgoun, IP Holman
Journal of Hydrology 540, 469-487, 2016
Mandates: UK Natural Environment Research Council
Approximate uncertainty modeling in risk analysis with vine copulas
T Bedford, A Daneshkhah, KJ Wilson
Risk Analysis 36 (4), 792-815, 2016
Mandates: UK Engineering and Physical Sciences Research Council
Probabilistic sensitivity analysis of optimised preventive maintenance strategies for deteriorating infrastructure assets
A Daneshkhah, NG Stocks, P Jeffrey
Reliability Engineering & System Safety 163, 33-45, 2017
Mandates: UK Engineering and Physical Sciences Research Council
Approximating non-Gaussian Bayesian networks using minimum information vine model with applications in financial modelling
O Chatrabgoun, A Hosseinian-Far, V Chang, NG Stocks, A Daneshkhah
Journal of computational science 24, 266-276, 2018
Mandates: UK Engineering and Physical Sciences Research Council
Assessing parameter uncertainty on coupled models using minimum information methods
T Bedford, KJ Wilson, A Daneshkhah
Reliability Engineering & System Safety 125, 3-12, 2014
Mandates: UK Engineering and Physical Sciences Research Council
A low cost and highly accurate technique for big data spatial-temporal interpolation
M Esmaeilbeigi, O Chatrabgoun, A Hosseinian-Far, R Montasari, ...
Applied Numerical Mathematics 153, 492-502, 2020
Mandates: UK Engineering and Physical Sciences Research Council
Economic evaluation of mental health effects of flooding using Bayesian networks
T Sedighi, L Varga, A Hosseinian-Far, A Daneshkhah
International journal of environmental research and public health 18 (14), 7467, 2021
Mandates: UK Economic and Social Research Council
Probabilistic modeling of financial uncertainties
A Daneshkhah, A Hosseinian-Far, O Chatrabgoun, T Sedighi, M Farsi
International Journal of Organizational and Collective Intelligence (IJOCI …, 2018
Mandates: UK Engineering and Physical Sciences Research Council
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