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Isambi Sailon Mbalawata
Isambi Sailon Mbalawata
University of Dar es Salam
Verified email at maths.udsm.ac.tz - Homepage
Title
Cited by
Cited by
Year
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
762013
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
512015
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
332015
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
232017
Mathematical modeling of COVID-19 transmission dynamics between healthcare workers and community
L Masandawa, SS Mirau, IS Mbalawata
Results in Physics 29, 104731, 2021
222021
Moment conditions for convergence of particle filters with unbounded importance weights
IS Mbalawata, S Särkkä
Signal Processing 118, 133-138, 2016
132016
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
122016
On the L4convergence of particle filters with general importance distributions
IS Mbalawata, S Särkkä
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
112014
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
102023
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, 2022
82022
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
72018
Adaptive Markov chain Monte Carlo and Bayesian filtering for state space models
IS Mbalawata
Lappeenranta University of Technology, 2014
72014
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
62021
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
62019
Determining parameter distribution in within-host severe P. falciparum malaria
B Nannyonga, GG Mwanga, H Haario, IS Mbalawata, M Heilio
BioSystems 126, 76-84, 2014
62014
Weight moment conditions for L4convergence of particle filters for unbounded test functions
IS Mbalawata, S Särkkä
2014 22nd European Signal Processing Conference (EUSIPCO), 1207-1211, 2014
62014
Markov chain Monte Carlo analysis of cholera epidemic
YM Marwa, S Mwalili, IS Mbalawata
J. Math. Comput. Sci. 8 (5), 584-610, 2018
52018
Modeling nosocomial infection of COVID-19 transmission dynamics
L Masandawa, SS Mirau, IS Mbalawata, JN Paul, K Kreppel, OM Msamba
Results in physics 37, 105503, 2022
42022
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
42019
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
32023
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