Mohamed Maama

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unbiased parameter estimation for bayesian inverse problems.
Stat. Comput.
Neil K. Chada, Ajay Jasra, Mohamed Maama, Raúl Tempone
2025 J jnl
Antithetic Multilevel Methods for Elliptic and Hypoelliptic Diffusions with Applications.
SIAM/ASA J. Uncertain. Quantification
Yuga Iguchi, Ajay Jasra, Mohamed Maama, Alexandros Beskos
2025 J jnl
Consensus dynamics and coherence in hierarchical small-world networks.
Networks Heterog. Media
Yunhua Liao, Mohamed Maama, M. A. Aziz-Alaoui
2024 J jnl
An improved unbiased particle filter.
Monte Carlo Methods Appl.
Ajay Jasra, Mohamed Maama, Hernando Ombao
2024 J jnl
Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications.
CoRR
Yuga Iguchi, Ajay Jasra, Mohamed Maama, Alexandros Beskos
2024 J jnl
Multilevel Particle Filters for a Class of Partially Observed Piecewise Deterministic Markov Processes.
SIAM J. Sci. Comput.
Ajay Jasra, Kengo Kamatani, Mohamed Maama
2024 J jnl
Parameter Estimation for Partially Observed McKean-Vlasov Diffusions.
CoRR
Ajay Jasra, Mohamed Maama, Raúl Tempone
2023 J jnl
An Improved Unbiased Particle Filter.
CoRR
Ajay Jasra, Mohamed Maama, Hernando Ombao
2023 J jnl
Antithetic Multilevel Particle Filters.
CoRR
Ajay Jasra, Mohamed Maama, Hernando Ombao
2023 J jnl
Bayesian parameter inference for partially observed stochastic differential equations driven by fractional Brownian motion.
Stat. Comput.
Mohamed Maama, Ajay Jasra, Hernando C. Ombao
2023 J jnl
Consensus dynamics and coherence in hierarchical small-world networks.
CoRR
Yunhua Liao, Mohamed Maama, M. A. Aziz-Alaoui
2022 J jnl
Bayesian Parameter Inference for Partially Observed SDEs driven by Fractional Brownian Motion.
CoRR
Mohamed Maama, Ajay Jasra, Hernando Ombao