Institutos Universitarios

  1. Portada
  2. Current members
  3. María Jaenada Malagón

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

 

 

Bio

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

  • A. Felipe, M. Jaenada, P. Miranda, L. Pardo. Robust estimators for the log-logistic model based on ranked set sampling. Japanese Journal of Statistics and Data Science. 2024. 10.1007/s42081-024-00272-z.
  • N. Balakrishnan,  M. Jaenada, L. Pardo. (2024) Robust inference for an interval-monitored step-stress experiment with competing risks for failure with an application to capacitor data. Computers & Industrial Engineering. 197. 10.1016/j.cie.2024.110536.
  • M. Jaenada, P. Miranda, L. Pardo, K. Zografos. An Approach to Canonical Correlation Analysis Based on Rényi’s Pseudodistances. Entropy, 25 (5), 713. 2023. https://doi.org/10.3390/e25050713
  • 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. https://doi.org/10.1016/j.cam.2023.115483
  • N. Balakrishnan, E. Castilla, N. Martin, L. Pardo. Power divergence approach for one-shot device testing under competing risks. Journal of Computational and Applied Mathematics, 2023, 419, Article number 114676. https://doi.org/10.1016/j.cam.2022.114676
  • 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. https://doi.org/10.3390/math11061480
  • 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. https://doi.org/10.48550/arXiv.2204.11560
  • 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. https://doi.org/10.3390/e24050616
  • A. Ghosh, M. Jaenada, L. Pardo. Classification of COVID19 Patients Using Robust Logistic Regression. Journal of Statistical Theory and Practice, 2022, 16(4), 67. https://doi.org/10.1007/s42519-022-00295-3
  • 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. https://doi.org/10.1109/TIT.2022.3158308
  • M Jaenada, P Miranda, L Pardo, Robust Test Statistics Based on Restricted Minimum Rényi’s Pseudodistance Estimators, Entropy, 2022, 24(5), 616. https://doi.org/10.3390/e24050616
  •  M. Jaenada, L. Pardo. Robust Statistical Inference in Generalized Linear Models Based on Minimum Renyi’s Pseudodistance Estimators. Entropy. 2022, 24(1), 123. https://doi.org/10.3390/e24010123