Bayesian Parameter Inference for Partially Observed SDEs driven by Fractional Brownian Motion. - Mohamed Maama; Ajay Jasra; Hernando Ombao (CoRR, 2022)

Antithetic Multilevel Particle Filters. - Ajay Jasra; Mohamed Maama; Hernando Ombao (CoRR, 2023)

Consensus dynamics and coherence in hierarchical small-world networks. - Yunhua Liao; Mohamed Maama; M. A. Aziz-Alaoui (CoRR, 2023)

Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion. - Mohamed Maama; Ajay Jasra; Hernando C. Ombao (Stat. Comput., 2023)

Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications. - Yuga Iguchi; Ajay Jasra; Mohamed Maama; Alexandros Beskos (CoRR, 2024)

Parameter Estimation for Partially Observed McKean-Vlasov Diffusions. - Ajay Jasra; Mohamed Maama; Raúl Tempone (CoRR, 2024)

An improved unbiased particle filter. - Ajay Jasra; Mohamed Maama; Hernando Ombao (Monte Carlo Methods Appl., 2024)

Multilevel Particle Filters for a Class of Partially Observed Piecewise Deterministic Markov Processes. - Ajay Jasra; Kengo Kamatani; Mohamed Maama (SIAM J. Sci. Comput., 2024)

Antithetic Multilevel Methods for Elliptic and Hypoelliptic Diffusions with Applications. - Yuga Iguchi; Ajay Jasra; Mohamed Maama; Alexandros Beskos (SIAM/ASA J. Uncertain. Quantification, 2025)