| The impact of total and renewable energy consumption on economic growth in lower and middle- and upper-middle-income groups: Evidence from CS-DL and CCEMG analysis JP Namahoro, J Nzabanita, Q Wu Energy 237, 121536, 2021 | 33 | 2021 |
| Fraud detection using neural networks: A case study of income tax BF Murorunkwere, O Tuyishimire, D Haughton, J Nzabanita Future Internet 14 (6), 168, 2022 | 18 | 2022 |
| Small area estimation under a multivariate linear model for repeated measures data I Ngaruye, J Nzabanita, D Rosen, M Singull Communications in Statistics-Theory and Methods 46 (21), 10835-10850, 2017 | 17 | 2017 |
| Estimation of parameters in the extended growth curve model with a linearly structured covariance matrix J Nzabanita, D von Rosen, M Singull Acta et Commentationes Universitatis Tartuensis de Mathematica 16 (1), 13-32, 2012 | 12 | 2012 |
| Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques E Masabo, J Nzabanita, I Ngaruye, C Ruranga, JP Nizeyimana, ... International Journal of Information Technology 15 (6), 3201-3210, 2023 | 9 | 2023 |
| Comparison of Tree-Based Machine Learning Algorithms to Predict Reporting Behavior of Electronic Billing Machines BF Murorunkwere, JF Ihirwe, I Kayijuka, J Nzabanita, D Haughton Information 14, 140, 2023 | 9 | 2023 |
| Maximum likelihood estimation in the tensor normal model with a structured mean J Nzabanita, D Von Rosen, M Singull Linköping University Electronic Press, 2015 | 8 | 2015 |
| Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study … A Nishimwe, C Ruranga, C Musanabaganwa, R Mugeni, M Semakula, ... BMC Medical Informatics and Decision Making 22, 214, 2022 | 6 | 2022 |
| Comparison of Machine Learning Algorithms for Predicting the Out of Pocket Medical Expenditures in Rwanda R Muremyi, N François, K Ignace, N Joseph, D Haughton Journal of Health and Medical Research 1 (1), 32-41, 2019 | 6 | 2019 |
| Business success prediction in Rwanda: a comparison of tree-based models and logistic regression classifiers F Kipkogei, IH Kabano, BF Murorunkwere, N Joseph SN Business & Economics 1, 1-19, 2021 | 5 | 2021 |
| Predicting tax fraud using supervised machine learning approach BF Murorunkwere, D Haughton, J Nzabanita, F Kipkogei, I Kabano African Journal of Science, Technology, Innovation and Development 15 (6 …, 2023 | 4 | 2023 |
| 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 | 4 | 2023 |
| Extended GMANOVA model with a linearly structured covariance matrix J Nzabanita, D Von Rosen, M Singull Mathematical Methods of Statistics 24, 280-291, 2015 | 4 | 2015 |
| Bilinear and trilinear regression models with structured covariance matrices J Nzabanita Linköping University Electronic Press, 2015 | 4 | 2015 |
| Prediction of prevalence of type 2 diabetes in Rwanda using the metropolis-hasting sampling A Dukunde, JM Ntaganda, J Kasozi, J Nzabanita African Health Sciences 21 (2), 702-709, 2021 | 3 | 2021 |
| Zeros of Gaussian power series with dependent random variables S Mukeru, MP Mulaudzi, J Nzabanita, MM Mpanda | 2 | 2020 |
| Productivity and competitiveness of Rwandan agriculture: a case study of the maize sector E Musabanganji, C Ruranga, J Nzabanita, F Nkikabahizi, I Ndizeye, ... AGROFOR 4 (1), 2019 | 2 | 2019 |
| Bilinear regression model with Kronecker and linear structures for the covariance matrix J Nzabanita, D Von Rosen, M Singull Afrika Statistika 10 (2), 827-837, 2015 | 1 | 2015 |
| Estimation in Multivariate Linear Models with Linearly Structured Covariance Matrices J Nzabanita Linköping University Electronic Press, 2012 | 1 | 2012 |
| Analysis of the COVID-19 pandemic in Rwanda using a stochastic model D Ndanguza, JP Ngendahayo, A Uwimana, JD Niyigena, IS Mbalawata, ... Mathematics Open 3, 2350013, 2024 | | 2024 |
Martin SingullProfessor - Mathematical Statistics, Linköpings universitetVerified email at liu.se
