Следене
Isambi Sailon Mbalawata
Isambi Sailon Mbalawata
University of Dar es Salam
Потвърден имейл адрес: maths.udsm.ac.tz - Начална страница
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Позовавания
Позовавания
Година
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
632013
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
442015
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
162017
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
72021
Adaptive Markov chain Monte Carlo and Bayesian filtering for state space models
IS Mbalawata
Lappeenranta University of Technology, 2014
72014
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
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
52018
Markov chain Monte Carlo analysis of cholera epidemic
YM Marwa, S Mwalili, IS Mbalawata
J. Math. Comput. Sci. 8 (5), 584-610, 2018
52018
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
52016
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
32021
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
32019
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
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
12022
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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