Isambi S. Mbalawata

According to our database, Isambi S. Mbalawata authored at least 10 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Persistence, Extinction, and boundedness in pth moment of hybrid stochastic logistic systems by delay feedback control based on discrete-time observation.

Denis Sospeter Mukama, Mohammad Ghani, Isambi Sailon Mbalawata

Math. Comput. Simul., 2023

2022

Mathematical Approach to Investigate Stress due to Control Measures to Curb COVID-19.

James Nicodemus Paul, Silas Steven Mirau, Isambi Sailon Mbalawata

Comput. Math. Methods Medicine, 2022

2017

Analysis of bias in an Ebola epidemic model by extended Kalman filter approach.

Denis Ndanguza, Isambi S. Mbalawata, Heikki Haario, Jean M. Tchuenche

Math. Comput. Simul., 2017

2016

Moment conditions for convergence of particle filters with unbounded importance weights.

Isambi S. Mbalawata, Simo Särkkä

Signal Process., 2016

2015

Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC.

Simo Särkkä, Jouni Hartikainen, Isambi Sailon Mbalawata, Heikki Haario

Stat. Comput., 2015

Adaptive Metropolis algorithm using variational Bayesian adaptive Kalman filter.

Isambi S. Mbalawata, Simo Särkkä, Matti Vihola, Heikki Haario

Comput. Stat. Data Anal., 2015

2014

Determining parameter distribution in within-host severe P. falciparum malaria.

Betty K. Nannyonga, Gasper Godson Mwanga, Heikki Haario, Isambi S. Mbalawata, Matti Heiliö

Biosyst., 2014

On the L⁴ convergence of particle filters with general importance distributions.

Isambi S. Mbalawata, Simo Särkkä

Proceedings of the IEEE International Conference on Acoustics, 2014

Weight moment conditions for L⁴ convergence of particle filters for unbounded test functions.

Isambi S. Mbalawata, Simo Särkkä

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering.

Isambi S. Mbalawata, Simo Särkkä, Heikki Haario

Comput. Stat., 2013