Publications

Preprints

[11] A. Senchukova, F. Uribe, L. Roininen: Bayesian inversion with Student’s t priors based on Gaussian scale mixtures, preprint.

[10] R. Flock, Y. Dong, F. Uribe, O. Zahm: Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior, preprint.

Articles in peer-reviewed journals

[9] A. M. A. Alghamdi, N. A. B. Riis, B. M. Afkham, F. Uribe, S. L. Christensen, P. C. Hansen, J. S. Jørgensen (2024): CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python. Inverse Problems. 40 045010, doi.

[8] N. A. B. Riis, A. M. A. Alghamdi, F. Uribe, S. L. Christensen, B. M. Afkham, P. C. Hansen, J. S. Jørgensen (2024): CUQIpy: I. Computational uncertainty quantification for inverse problems in Python. Inverse Problems. 40 045009, doi.

[7] S. L. Christensen, N. A. B. Riis, F. Uribe, J. S. Jørgensen (2023): Structural Gaussian priors for Bayesian CT reconstruction of subsea pipes. Applied Mathematics in Science and Engineering. 31(1), 2224918, doi, arXiv.

[6] F. Uribe, Y. Dong, P. C. Hansen: Horseshoe priors for edge-preserving linear Bayesian inversion. SIAM Journal on Scientific Computing. 45(3), B337-B365, doi, arXiv.

[5] F. Uribe, J. M. Bardsley, Y. Dong, P. C. Hansen, N. A. B. Riis (2022): A hybrid Gibbs sampler for edge-preserving tomographic reconstruction with uncertain view angles. SIAM/ASA Journal on Uncertainty Quantification. 10(3), 1293-1320, doi, arXiv.

[4] F. Uribe, I. Papaioannou, J. Latz, W. Betz, E. Ullmann, D. Straub (2021): Bayesian inference with subset simulation in varying dimensions applied to the Karhunen–Loève expansion. International Journal for Numerical Methods in Engineering, 122(8), 5100-5127, doi.

[3] F. Uribe, I. Papaioannou, Y. M. Marzouk, D. Straub (2021): Cross-entropy-based importance sampling with failure-informed dimension reduction for rare event simulation. SIAM/ASA Journal on Uncertainty Quantification. 9(2), 818-847, doi, arXiv.

[2] F. Uribe, I. Papaioannou, W. Betz, D. Straub (2020): Bayesian inference of random fields represented with the Karhunen-Loève expansion. Computer Methods in Applied Mechanics and Engineering. 358, 112632, doi.

[1] D. A. Alvarez, F. Uribe, J. E. Hurtado (2018): Estimation of the lower and upper bounds on the probability of failure using subset simulation and random set theory. Mechanical Systems and Signal Processing. 100, 782-801, doi.

Conference proceedings

[5] F. Uribe, I. Papaioannou, W. Betz, E. Ullmann, D. Straub (2017): Random fields in Bayesian inference: effects of the random field discretization. Proceedings of the 12th International Conference on Structural Safety & Reliability (ICOSSAR). Ed. by C. Bucher, B. R. Ellingwood and D. M. Frangopol. TU-Verlag Vienna, pp. 799–808. (link).

[4] B. Chalarca, D. Bedoya-Ruíz, F. Uribe, D. A. Alvarez, J. E. Hurtado (2015): Strength assessment of sandwich-type ferrocement structural walls under cyclic loading. Proceedings of the 11th International Symposium on Ferrocement (FERRO-11) and 3rd International Conference on Textile Reinforced Concrete (ICTRC). Ed. by W. Brameshuber. RILEM, pp. 119-129. (link).

[3] F. Uribe, D. A. Alvarez, J. E. Hurtado, B. Chalarca, D. Bedoya-Ruíz (2015): Hysteresis parameter identification and reliability assessment of ferrocement walls. Proceedings of the 11th International Symposium on Ferrocement (FERRO-11) and 3rd International Conference on Textile Reinforced Concrete (ICTRC). Ed. by W. Brameshuber. RILEM, pp. 91-102. (link).

[2] D. A. Alvarez, J. E. Hurtado, F. Uribe (2014): Estimation of the lower and upper probabilities of failure using random sets and subset simulation. Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and 6th International Symposium on Uncertainty Modeling and Analysis (ISUMA). Ed. by M. Beer, S.-K. Au and J. W. Hall. ASCE, pp. 905-914. (link).

[1] F. Uribe, G. A. Ortiz, D. A. Alvarez, D. Bedoya-Ruíz (2014): Nonlinear modeling and fragility analysis of ferrocement structures. Proceedings of the 7th International Conference on Computational Stochastic Mechanics (CSM7). Ed. by G. Deodatis and P. D. Spanos. Research Publishing Services, pp. 729-740. (link).

Theses

[3] Felipe Uribe (2020): Bayesian analysis and rare event simulation of random fields. Doctoral thesis, Technical University of Munich. Advisor: Daniel Straub. (full text).

[2] Felipe Uribe (2015): Probabilistic analysis of structures using stochastic finite elements. Master’s thesis, National University of Colombia at Manizales. Advisors: Diego A. Alvarez and Daniel Bedoya-Ruíz. (full text).

[1] Felipe Uribe (2011): Implementation of simulation methods in structural reliability. Bachelor’s thesis (Civil Engineering), National University of Colombia at Manizales. Advisor: Diego A. Alvarez. (full text).