Meet our team
College of Business and Economics, University of Rwanda
P.O. Box 1514 Kigali, Rwanda
Phone: (+250) 788 484 421
Email: email@example.com or firstname.lastname@example.org
Languages: English, French, Kinyarwanda and Kiswahili
2017: PhD in Statistics (Econometrics), Makerere University, Uganda
2007: MSc in Economics with two specializations: Econometrics and international economics and finance, University of Montreal, Canada
2001: BSc in Economics, National University of Rwanda, Rwanda
Current Position: Director of African Centre of Excellence in Data Science (ACE-DS) & Lecturer in Department of Applied Statistics, College of Business and Economics, University of Rwanda
I completed Bsc in Economics in 2001 and since November 2002 I have been recruited as Assistant Lecturer at National University of Rwanda. I have experience of over 15 years in Research, administration, Consultancy and Academia fields. I have been involved in teaching, research, consultancies and management.
Modules/courses taught at university are Econometrics I and II, Policy Analysis, Macroeconomics, Microeconomics, Statistics, Statistical software, Advanced Econometrics.
Publications are available on: https://scholar.google.com/citations?user=h35fteIAAAAJ&hl=en or https://www.researchgate.net/profile/Charles_Ruranga/publications
Ruranga, C., Mugenzi, M. and Mutabazi, A. (2018). Spatial price transmission analysis in beans and rice markets of Rwanda. Rwanda Handbook of Economic and Social Policy, Chapter 13, Vol. 1, Pages 397- 419, Jönköping International Business School, January 2018.
Ruranga, C. and Mutabazi, A. (2015). Food Prices Transmission in Rwanda: Econometric Analysis. Rwanda Journal, Series B: Social Sciences (ISSN 2305-2678 (Print); ISSN 2305-5944), 2 (1):019-029. DOI: http://dx.doi.org/10.4314/rj.v2i1.3B
Ruranga, C., Ocaya, B. and Kaberuka, W. (2014). VAR Analysis of Economic Growth, Domestic Investment, Foreign Direct Investment, Domestic Savings and Trade in Rwanda. Greener Journal of Economics and Accountancy (ISSN: 2276-7762), 3 (2): 030-041; July 2014.
Ruranga, C., Ocaya, B. and Kaberuka, W. (2014). Analysis of Rwandan Economic Performance Before and After the 1994 Genocide. African Journal of Economic Review (ISSN 1821-8148), 2(2): 001-018; July 2014.
Ocaya, B., Ruranga, C. and Kaberuka, W. (2013). Foreign Direct Investment and Economic Growth in Rwanda: A Time Series Analysis, Journal of Business Management and Corporate Affairs (ISSN 2354-3469), 2(1): 11-18; January 2013.
Ocaya, B., Ruranga, C. and Kaberuka, W. (2012). Dynamic Relationship between Gross Domestic Product and Domestic Investment in Rwanda, World Journal of Education (ISSN 1925-0746(Print), ISSN 1925-0754(Online)), 2(6): 79-90. December 2012.
Ruranga, C. (2011). Analyse des déterminants de l’épargne nationale du Rwanda. African Union Commission (AUC), Proceedings of the Second Congress of African Economists, ISSN number: 1993-6177, Vol. 1: 17-35, November 2011.
January 2017 – current: Director African Centre of Excellence in Data Science (ACE-DS), CBE, UR
June 2015 – August 2017: Head of Department of Applied Statistics, CBE, UR
November 4th, 2008 – July 2011: Vice-Dean for Administration and Finance, Faculty of Economics and Management, NUR.
30th June 2009 – 30th June 2010: Project Manager of NPT/RWA/053 project. Cooperation between NUFFIC, Netherlands and NUR
March - December 2002: Regional Representative of « Union des Banques Populaires du Rwanda » in Ruhengeri province
Ruranga, C. (2014). Measurement and Mapping of Non-Monetary Poverty, National data analyst, National Institute of Statistics of Rwanda (NISR), Ministry of Finance and Economic Planning (MINECOFIN) [Rwanda], Fourth Rwanda Population and Housing Census 2012. January 2014.
June-August 2013: Food price transmission analysis in Rwanda, National University of Rwanda (NUR) – Food Price Trends Project, funded by The Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA), August 2013.
January – May 2011: Elaboration and presentation of “the Public Sector Strategic Plan for HIV and AIDS 2011-2013”, Mifotra, UPSLS, June 2011.
8th -12th November 2010: SPSS for statistical analysis training for RALGA (Rwandese Association of Local Government Authorities) staff.
January – December 2010: Employer and Graduate Survey. Final report gives the information on the socio-demographic data of graduates and their families, course of study at the university, transition from university to employment (including period of unemployment), current employment status and further training/education undertaken since graduation, employers impression on the quality and scope of targeted NUR graduates training, and extent of employers existing relationships with NUR.
January- September 2009: Participation in Consultancy of Commission Nationale de Lutte contre le SIDA sur « Etude sur les Priorités Locales pour les Efforts de Lutte Contre le SIDA (PLACE) : Cas des Cinq Zones Agricoles au Rwanda ». Task: protocol preparation, visit of field, supervision of data collection in Eastern province, data analysis, report writing.
Dr Patrick McSharry is a Visiting Professor at Carnegie Mellon University, a Senior Research Fellow at Oxford University, a Fellow of the Royal Statistical Society and a Senior Member of the IEEE. He takes a multidisciplinary approach to developing quantitative techniques for data science, decision-making and risk management. His research focuses on big data, forecasting, predictive analytics, analysis of human behavior and machine learning. He has published over 90 peer-reviewed papers, participated in knowledge exchange programs and consults for national and international government agencies and the insurance, finance, energy, telecoms, environment and healthcare sectors.
BSc, Theoretical Physics, University of Dublin's Trinity College
MSc, Engineering, University of Dublin's Trinity College Dublin
PhD, Mathematical Institute, Oxford University
P. Moore, M.A. Little, P.E. McSharry. J.R. Geddes, G.M. Goodwin (2012). Forecasting depression in bipolar disorder. IEEE Trans Biomed Eng., 59(10):2801-7.
A. Tsanas, M.A. Little, P.E. McSharry, J. Spielman, L.O. Ramig (2011) Novel speech signal processing algorithms for high-accuracy classification of Parkinson’s disease. IEEE Transactions on Biomedical Engineering 59(5):1264-1271.
J. W. Taylor, L. M. de Menezes and P. E. McSharry (2006). A comparison of methods for forecasting electricity demand up to a day ahead. International Journal of forecasting, 22(1): 1-16.
Department of Mathematics
College of Science and Technology
University of Rwanda
P.O.Box 3900, Kigali, Rwanda
English : fluent (speaking, reading, writing)
French : fluent (speaking, reading, writing)
My research focuses on the problem of estimating parameters in multivariate normal models. Specifically, I consider bilinear and trilinear regression models in which random errors are normally distributed. For the bilinear regression models, also known as Growth Curve Models, the problem of estimating parameters when the covariance matrix has a Kronecker product structure and some factor matrices are linearly structured, (e.g., banded, intraclass, Toeplitz, circular Toeplitz, special structure with zeros or some mix), is of interest. The interest of considering various structures for the covariance matrices in different statistical models is partly driven by the idea that altering the covariance structure of a parametric model alters the variances of the models estimated mean parameters. For the trilinear regression models, the focus is on the 2-fold growth curve model, i.e., the tensor normal model with a trilinear structure for the mean. I am also interested in multivariate linear models for repeated measures data with application to Small Area Estimation.
Link¨oping University, Link¨oping, Sweden
Doctor of Philosophy, PhD in Mathematical Statistics, 2015.
PhD thesis:Bilinear and Trilinear Regression Models with Structured Covariance Matrices.
Supervisor: Professor Dietrich von Rosen, Centre of Biostochastics. Swedish University of Agricultural Sciences, Uppsala, Sweden
Co-supervisor: Dr. Martin Singull, Department of Mathematics,
Mathematical Statistics, Link¨oping University, Link¨oping, Sweden
Licentiate of Philosophy, Mathematical Statistics, 2012.
Licentiate thesis:Estimation in Multivariate Linear Models with Linearly Structured Covariance Matrices.
Supervisor: Professor Dietrich von Rosen, Centre of Biostochastics. Swedish University of Agricultural Sciences, Uppsala, Sweden
Co-supervisor: Dr. Martin Singull, Department of Mathematics, Mathematical Statistics, Link¨oping University, Link¨oping, Sweden
University of Rwanda (former National University of Rwanda)
Master of Science in Applied Mathematics, 2010
Master thesis:On the Projected Gradient Method and Static Equilibrium Configurations of Charged Metallic Bodies.
Bachelor of Science in Mathematics with Education, 2004
Dissertation:Application de la M´ethode de Fourier dans la R´esolution des Probl`emes aux Limites dans un Espace de Sobolev
2017 - : Head of Research, African Centre of Excellence in Data Science (ACE-DS)
2013 - : Lecturer, University of Rwanda, Rwanda
2005 - 2013 : Assistant Lecturer, National University of Rwanda, Rwanda
2003 - 2005 : Teacher of mathematics and physics, Ecole Secondaire des Parents de Nyanza, Rwanda
PEDAGOGICAL SKILLS/ Certificates:
2014, Certificate of Teaching in Higher Education. Link¨oping University, EXPERIENCE Link¨oping, Sweden.
2016, Certificate of Research Supervision. University of Rwanda, Kigali, Rwanda in collaboration with Link¨oping University, Link¨oping, Sweden.
Courses Taught at Master level:
- Extreme value theory, Teaching and examination, MSc. in Statistics, Jomo Kenyata University of agriculture, Rwanda, 2016.
- Introduction to Probability and Statistics, Teaching and examination, MSc. in Mathematical Sciences, African Institute for Mathematical Sciences, Rwanda, 2016
Courses Taught at PhD level:
- Stochastic processes, Teaching and examination, PhD. in Mathematics, Makerere University, Uganda, 2017.
- Multivariate statistics, Teaching and examination, PhD. in Mathematics, Makerere University, Uganda, 2018.
PhD co-supervision (ongoing):
1. Mrs. Beatrice Byukusenge, Linkping University, Sweden (together with Prof. Dietrich von Rosen and Ass. Prof. Martin Singull). Started 2015.
Project: Mixed Linear Models.
Mr. Jean Médard Ambo Amandure, University of Rwanda, Rwanda (together with Prof. Ernest Fokoue and Prof. Mario Cools). Started 2018.
Project: Inter- and intra-Urban travel behavior analysis based on data mining techniques in Rwanda.
Mrs. Angélique Dukunde, University of Rwanda, Rwanda (together with Prof. Kasozi Njuma and Prof. Jean Marie Ntaganda). Started 2018.
Project: Markov chain Monte Carlo methods for predicting diabetes and hypertension in Rwanda
Mr. Cyprien Mugemangango, University of Rwanda, Rwanda (together with Prof. Nathan Cahill). Started 2018.
Project: Artificial Neural Network models for analyzing factors impacting crop productivity in Rwanda
Master’s thesis supervision (completed):
Modelling extreme health insurance claims using Generalized Pareto Distribution: Case of RSSB. Master Thesis by Uwingabire Jeannette. University of Rwanda, College of Science and technology, Rwanda, 2018.
On the properties of maximum likelihood estimators in the matrix normal distribution. Master Thesis by Nigirente Florien. University of Rwanda, College of Science and technology, Rwanda, 2018.
Estimation of parameters in the bi-linear regression model when one covariance has a uniform structure. Master Thesis by Benjamin Kweku Lugu. African Institute for Mathematical Sciences, Rwanda, 2017.
Modelling extreme temperature using extreme value distribution: Case study of Kigali City. Master Thesis by Jeanne d’Arc Mukarugomwa. African Institute for Mathematical Sciences, Rwanda, 2017.
Modelling extreme rainfall in Rwanda using Generalised Pareto Distribution. Master Thesis by Seraphine Ayingeneye. African Institute for Mathematical Sciences, Rwanda, 2017.
Empirical study of the bias and the dispersion of MLEs in the bi-linear regression model. Master Thesis by Bucyana Florence. University of Rwanda, College of Science and technology, Rwanda, 2016.
Estimation of parameters in the growth curve model with a linearly structured covariance matrix-a simulation study. Master Thesis by Cassien
Habyarimana. University of Rwanda, College of Science and technology, Rwanda, 2014. (Supervised together with Martin Singull)
Evaluation of BUSOGO climate model via residuals for one decade.
Master Thesis by Alexandre Nkurunziza. University of Rwanda, College
of Science and technology, Rwanda, 2014. (Supervised together with Martin Singull)
Influential observation study under the logistic regression model. Master Thesis by Dieudonné Hakuzimana. University of Rwanda, College of Science and technology, Rwanda, 2014. (Supervised together with Martin Singull)
Referred Journal Papers:
8. Ngaruye. I., Nzabanita, J., von Rosen, D., and Singull, M., (2017). Small Area Estimation under a Multivariate Linear Model for Repeated Measures Data. Communications in statistics-Theory and Methods, 46(21), 10835-10850.
7. Habyarimana, C., Singull, M., Nzabanita, J., (2017). Estimation of Parameters in the Growth Curve Model with a Linearly Structured Covariance Matrix: A Simulation Study. International Journal of Scientific Engineering and Technology, 6(1): 45-49.
6. Nzabanita, J., von Rosen, D. and Singull, M. (2015). Bilinear regression model with Kronecker and linear structures for the covariance matrix. Afrika Statistika, Volume 10 (2): 827-837.
5. Nzabanita, J., von Rosen, D., and Singull, M., (2015). Extended GMANOVA Model with a Linearly Structured Covariance Matrix. Mathematical Methods of Statistics, Volume 24 (4): 280-291.
4. Nzabanita, J., von Rosen, D. and Singull, M. (2012). Estimation of parameters in the extended growth curve model with a linearly structured covariance matrix. Acta et Commentationes Universitatis Tartuensis de Mathematica. Volume 16 (1): 13-32
3. Nzabanita, J., Herberthson, M., Turesson, B.O., and Minani, F. (2012). Static equilibrium configurations of charged metallic bodies. Rwanda Journal, Volume 27 Series C: 12-22.
Referred Conference Paper:
2. Nzabanita, J. (2013). Multivariate Linear Models with Kronecker Product and Linear Structures on the Covariance Matrices. In JSM Proceedings, IMS, Alexandria, VA: American Statistical Association: 1582-1588.
Nzabanita, J., von Rosen, D., and Singull, M., (2015). Maximum Likelihood Estimation in the Tensor Normal Model with a Structured Mean. Linkping University Electronic Press. LiTH-MAT-R, 2015:08; ISSN 0348-2960.
INTERNATIONAL CONFERENCES : With Presentation
1. The First East African Conference on Mathematical Statistics with Applications, Univesrity of Rwanda, Kigali, Rwanda, June 14-
The International Conference on Trends and Perspectives (LinStat2014), Link¨oping University, Link¨oping, Sweden, August 24 - 28th, 2014
The 22nd International Workshop on Matrices and Statistics (IWMS 2013), , University of Toronto, Toronto, Canada, August 1215, 2013
Joint Statistical Meetings (JSM 2013), University of Montr´eal, Montr´eal, Canada, August 3-8, 2013
The 9th Tartu Conference on Multivariate Statistics & The 20th International Workshop on Matrices and Statistics University of Tartu, Tartu, Estonia, 26 June - 1 July 2011
Member of the Writing Team for ACE-DS (African Centre of Excellence for Data Science) project proposal. The project is funded by the World Bank and is in its implementation phase. (Net worth 4.5 million USD).
Member of the organizing committee for the First East African Conference on Mathematical Statistics with Applications held June 14-16, 2017, Kigali, Rwanda.
Member of the organizing committee for the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat2014) held 24-28 August, 2014 at Linkping University, Sweden.
Reviewer for the Journal of Multivariate Analysis (JMVA).
Reviewer for the Journal, Communications in Statistics-Theory and Methods.
AWARDS AND HONOURS
2016 Cram´er Prize for the best thesis in Statistics and Mathematical Statistics in Sweden.