| Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering IS Mbalawata, S Särkkä, H Haario Computational Statistics 28, 1195-1223, 2013 | 77 | 2013 |
| Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter IS Mbalawata, S Särkkä, M Vihola, H Haario Computational Statistics & Data Analysis 83, 101-115, 2015 | 55 | 2015 |
| Mathematical modeling of COVID-19 transmission dynamics between healthcare workers and community L Masandawa, SS Mirau, IS Mbalawata Results in Physics 29, 104731, 2021 | 36 | 2021 |
| Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC S Särkkä, J Hartikainen, IS Mbalawata, H Haario Statistics and Computing 25 (2), 427-437, 2015 | 34 | 2015 |
| Analysis of bias in an Ebola epidemic model by extended Kalman filter approach D Ndanguza, IS Mbalawata, H Haario, JM Tchuenche Mathematics and Computers in Simulation 142, 113-129, 2017 | 26 | 2017 |
| Mathematical modeling of vaccination as a control measure of stress to fight COVID-19 infections JN Paul, IS Mbalawata, SS Mirau, L Masandawa Chaos, Solitons & Fractals 166, 112920, 2023 | 24 | 2023 |
| Analysis of SDEs applied to SEIR epidemic models by extended Kalman filter method D Ndanguza, IS Mbalawata, JP Nsabimana Applied Mathematics 7 (17), 2195-2211, 2016 | 14 | 2016 |
| Moment conditions for convergence of particle filters with unbounded importance weights IS Mbalawata, S Särkkä Signal Processing 118, 133-138, 2016 | 13 | 2016 |
| On the L4convergence of particle filters with general importance distributions IS Mbalawata, S Särkkä 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 11 | 2014 |
| An age-structured model for transmission dynamics of malaria with infected immigrants and asymptomatic carriers AS Kalula, E Mureithi, T Marijani, I Mbalawata Tanzania Journal of Science 47 (3), 953-968, 2021 | 10 | 2021 |
| Time series and ensemble models to forecast banana crop yield in Tanzania, considering the effects of climate change S Patrick, S Mirau, I Mbalawata, J Leo Resources, Environment and Sustainability 14, 100138, 2023 | 9 | 2023 |
| Mathematical Approach to Investigate Stress due to Control Measures to Curb COVID‐19 JN Paul, SS Mirau, IS Mbalawata Computational and mathematical methods in medicine 2022 (1), 7772263, 2022 | 9 | 2022 |
| A mathematical model for the dynamics and MCMC analysis of tomato bacterial wilt disease F Remo, LS Luboobi, IS Mabalawata, BK Nannyonga International Journal of Biomathematics 11 (01), 1850001, 2018 | 9 | 2018 |
| Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda L Mpinganzima, JM Ntaganda, W Banzi, JP Muhirwa, BK Nannyonga, ... IJID regions 6, 99-107, 2023 | 7 | 2023 |
| Markov chain Monte Carlo analysis of cholera epidemic YM Marwa, S Mwalili, IS Mbalawata J. Math. Comput. Sci. 8 (5), 584-610, 2018 | 7 | 2018 |
| Adaptive Markov chain Monte Carlo and Bayesian filtering for state space models IS Mbalawata Lappeenranta University of Technology, 2014 | 7 | 2014 |
| Optimal control and cost-effectiveness analysis of age-structured malaria model with asymptomatic carrier and temperature variability A Kalula, E Mureithi, T Marijani, I Mbalawata Journal of Biological Dynamics 17 (1), 2199766, 2023 | 6 | 2023 |
| Markov chain Monte Carlo analysis of the variable-volume exothermic model for a continuously stirred tank reactor JP Muhirwa, SI Mbalawata, VG Masanja Engineering, Technology & Applied Science Research 11 (2), 6919-6929, 2021 | 6 | 2021 |
| Stochastic dynamics of cholera epidemic model: Formulation, analysis and numerical simulation YM Marwa, IS Mbalawata, S Mwalili, WM Charles Journal of Applied Mathematics and Physics 7 (5), 1097-1125, 2019 | 6 | 2019 |
| Continuous time markov chain model for cholera epidemic transmission dynamics YM Marwa, IS Mbalawata, S Mwalili International Journal of Statistics and Probability 8 (3), 1-32, 2019 | 6 | 2019 |
