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Laurent, B., Deka, B., Hamida, Z., & Goulet, J. A. (2023). Analytical Inference for Inspectors' Uncertainty Using Network-Scale Visual Inspections. Journal of Computing in Civil Engineering, 37(5), 12 pages. Lien externe
Deka, B., Nguyen, L. H., & Goulet, J. A. (2023). Analytically tractable heteroscedastic uncertainty quantification in Bayesian neural networks for regression tasks. Neurocomputing, 127183 (20 pages). Lien externe
Deka, B., & Goulet, J. A. (2023). Approximate Gaussian variance inference for state-space models. International Journal of Adaptive Control and Signal Processing, 29 pages. Disponible
Deka, B., & Goulet, J. A. Online aleatory uncertainty quantification for probabilistic time series models [Communication écrite]. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland (8 pages). Lien externe
Deka, B. (2022). Analytical Bayesian Parameter Inference for Probabilistic Models with Engineering Applications [Thèse de doctorat, Polytechnique Montréal]. Disponible
Deka, B., Ha Nguyen, L., Amiri, S., & Goulet, J. A. (2022). The Gaussian multiplicative approximation for state-space models. Structural Control and Health Monitoring, 29(3), 20 pages. Lien externe
