Institutos Universitarios

María Jaenada Malagón

Becarios (Predoctoral Fellow)
Department of Statistics and Operations Research
School of Mathematical Sciences
Complutense University of Madrid
Procedimientos Inferenciales Basados en Divergencias




I am currently a Predoctoral Researcher at the Department of Statistics and Operational Research at Universidad Complutense de Madrid, supported by an FPU Grant. I got my bachelor’s degrees in mathematics and mathematics and statistics at Universidad Complutense de Madrid, where I later obtained a M.Sc. in computational statistics.


Research interests

My research interests include information theory, generalized regression models, high dimensional data, reliability analysis and robust statistics.


Latest Publications

  • M. Jaenada, P. Miranda, L. Pardo, K. Zografos. An Approach to Canonical Correlation Analysis Based on Rényi’s Pseudodistances. Entropy, 25 (5), 713. 2023.
  • N. Balakrishnan,  M. Jaenada, L. Pardo. (2023) Non-destructive one-shot device test under step-stress experiment with lognormal lifetime distribution. Journal of Computational and Applied Mathematics. Volume 437.
  • N. Balakrishnan, E. Castilla, N. MartinL. Pardo. Power divergence approach for one-shot device testing under competing risks. Journal of Computational and Applied Mathematics, 2023, 419, Article number 114676
  • A. Felipe, M. Jaenada, P. Miranda, L. Pardo. Restricted Distance-Type Gaussian Estimators Based on Density. Power Divergence and Their Applications in Hypothesis Testing. Mathematics. 2023, 11, 1480 480.
  • N. Balakrishnan, E. Castilla, M. Jaenada, L. Pardo. Robust inference for nondestructive one-shot device testing under step-stress model with exponential lifetimes. Quality and Reliability Engineering International, 2023.
  • E. Castilla, M. Jaenada, N. Martín, L. Pardo. Robust approach for comparing two dependent normal populations through Wald-type tests based on Rényi’s pseudodistance estimators. Statistics and Computing, 2022, 32(6), 100.
  • A. Ghosh, M. Jaenada, L. Pardo. Classification of COVID19 Patients Using Robust Logistic Regression. Journal of Statistical Theory and Practice, 2022, 16(4), 67.
  • E. Castilla, M. Jaenada, L. Pardo. Estimation and testing on independent not identically distributed observations based on Rényi’s pseudodistances. IEEE Transactions on Information Theory
  • M Jaenada, P Miranda, L Pardo, Robust Test Statistics Based on Restricted Minimum Rényi’s Pseudodistance Estimators, Entropy, 2022, 24(5), 616.
  •  M. Jaenada, L. Pardo. Robust Statistical Inference in Generalized Linear Models Based on Minimum Renyi’s Pseudodistance Estimators. Entropy. 2022, 24(1), 123.