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Profile

Name: Dr. Victor Muthama Musau

Qualifications

  • PhD. Statistics - University of Padova, ITALY, 2020.
  • MSc. Applied Statistics - Jomo Kenyatta University of Agriculture and Technology, 2015.
  • Bsc. Actuarial Science - Jomo Kenyatta University of Agriculture and Technology, 2013.

External Links/Affiliations

  1. https://scholar.google.com/citations?hl=en&user=2-gBWUQAAAAJ
  2. https://www.researchgate.net/profile/Victor-Muthama-Musau

Research Interests

Statistical modelling, Clustering and predictive analysis, Quantile regression, Time series analysis, Mixed model analysis, Bayesian analysis and Machine learning.

Publications

  1. Musau, V., Gaetan, C. & Girardi, P. (2022). Clustering of bivariate satellite time series: A quantile approach. Environmetrics, e2755. 2022. https://doi.org/10.1002/env.2755. 
  2. Malombe, F., Mageto, T. & Musau, V. (2022). An Application of Multi-label Linear Discriminant Analysis and Binary Relevance K-Nearest Neighbor in Multi-label Classification of Annotated Images. International Journal of Data Science and Analysis, 8 (2), 30-37.
  3. Musau, V., Gaetan, C. & Girardi, P. (2021). On Model-based Clustering using Quantile Regression. Conference of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society. 102-105
  4. Musau, V, Waititu, A. & Wanjoya, A. (2015).Modeling Panel data: Comparison of Generalized Least Squares Estimation and Robust Covariance Matrix Estimation. American Journal of Theoretical and Applied Statistics. Vol. 4, No. 3, 2015, pp. 185-191.