Zaid Sawlan
Title
Cited by
Cited by
Year
Bayesian inference and model comparison for metallic fatigue data
I Babuska, Z Sawlan, M Scavino, B Szabó, R Tempone
Computer Methods in Applied Mechanics and Engineering 304, 171-196, 2016
432016
Bayesian inferences of the thermal properties of a wall using temperature and heat flux measurements
M Iglesias, Z Sawlan, M Scavino, R Tempone, C Wood
International Journal of Heat and Mass Transfer 116, 417-431, 2017
142017
A hierarchical Bayesian setting for an inverse problem in linear parabolic PDEs with noisy boundary conditions
F Ruggeri, Z Sawlan, M Scavino, R Tempone
Bayesian Analysis 12 (2), 407-433, 2017
92017
Spatial Poisson processes for fatigue crack initiation
I Babuska, Z Sawlan, M Scavino, B Szabó, R Tempone
Computer Methods in Applied Mechanics and Engineering, 2018
72018
Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: application to heat transfer in building walls
M Iglesias, Z Sawlan, M Scavino, R Tempone, C Wood
Inverse Problems 34 (7), 075008, 2018
42018
Statistical analysis and Bayesian methods for fatigue life prediction and inverse problems in linear time dependent PDEs with uncertainties
ZA Sawlan
2018
Bayesian inference of the heat transfer properties of a wall using experimental data
M Iglesias, ZA Sawlan, M Scavino, R Tempone, C Wood
2016
Bayesian Inference for Linear Parabolic PDEs with Noisy Boundary Conditions
F Ruggeri, ZA Sawlan, M Scavino, R Tempone
2016
Bayesian Inference for Linear Parabolic PDEs with Noisy Boundary Conditions
ZA Sawlan
2016
Inferencia Bayesiana para el análisis estadístico de datos de fatiga de materiales metálicos
I Babuska, Z Sawlan, M Scavino, B Szabo, R Tempone
Serie DT (16/01);, 2016
2016
A Bayesian setting for an inverse problem in heat transfer
F Ruggeri, ZA Sawlan, M Scavino, R Tempone
2014
Tsunami Prediction and Earthquake Parameters Estimation in the Red Sea
ZA Sawlan
King Abdullah University of Science and Technology, 2012
2012
The system can't perform the operation now. Try again later.
Articles 1–12