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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 (3), 1195-1223, 2013
642013
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
452015
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
252015
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
172017
Moment conditions for convergence of particle filters with unbounded importance weights
IS Mbalawata, S Särkkä
Signal Processing 118, 133-138, 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 COVID-19 transmission dynamics between healthcare workers and community
L Masandawa, SS Mirau, IS Mbalawata
Results in Physics 29, 104731, 2021
92021
Analysis of SDEs applied to SEIR epidemic models by extended Kalman filter method
D Ndanguza, IS Mbalawata, JP Nsabimana
Applied Mathematics 7 (17), 2195, 2016
82016
Adaptive Markov chain Monte Carlo and Bayesian filtering for state space models
IS Mbalawata
Lappeenranta University of Technology, 2014
72014
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
62018
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
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
42021
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
42019
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
32022
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
22019
MCMC Analysis Of Classical Time Series Algorithms
I Sailon
22009
Forecasting Rainfall in Tanzania Using Time Series Approach Case Study: Dar es Salaam
PA Panga, S Nyimvua, I Mbalawata
J Climatol Weather Forecast 9, 272, 2021
12021
Bayesian approach in modelling cholera outbreak in Ilala municipal council, Tanzania
YM Marwa, S Mwalili, IS Mbalawata
J. Math. Comput. Sci. 9 (1), 73-86, 2019
12019
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