I am interesting in answering fundamental research questions in Statistics and Machine Learning, using tools in Probability and Stochastic Processes, as well as in Applied Statistics and various models in Medicine and Biostatistics. More precisely, I focus on nonparametric asymptotic hypothesis testing using tools from Stochastic Processes; inference for evolutionary clusters of increasing size, with limit theorems for martingale transforms; estimation for models with measurement errors, as well as model selection methods for mixed models.

Preprints and manuscripts

  • Dumitrescu, L. and Schiopu-Kratina, I. Asymptotics for time-evolving clustered data of increasing size. In progress, available upon request.

  • Dumitrescu, L. Efficient estimation for high-dimensional longitudinal error in variables models. In progress, available upon request.

  • Dumitrescu, L. and Harcourt*, D. (2022). Nonparametric estimation of marginal distributions for unordered pairs. Statistics and Probability Letters, 181, 109266.

  • Dumitrescu, L. and Schiopu-Kratina, I. (2021). Asymptotic results with estimating equations for time-evolving clustered data. Journal of Statistical Planning and Inference, 214, 41–61.

  • Dumitrescu, L., Qian, W. and Rao, J. N. K. (2021). Inference for longitudinal data from complex sampling surveys: an approach based on quadratic inference functions. Scandinavian Journal of Statistics, 48, 246–274.

  • Dumitrescu, L., Qian, W. and Rao, J. N. K. (2021). A weighted composite likelihood approach to inference from clustered survey data under a two-level model. Sankhya A, 83–A, 814–843.

  • Dumitrescu, L., Qian, W. and Rao, J. N. K. (2021). Variable selection for longitudinal survey data. Journal of Statistical Research, 55, 21–41.

  • Cai, S., Rao, J. N. K., Dumitrescu, L. and Chatrchi. G. (2020). Effective transformation-based variable selection under two-fold subarea models in small area estimation, with Statistics in Transition new series, Special Issue, August 2020, 21, 68–83.

  • Dumitrescu, L. and Khmaladze, E. (2019). Asymptotic hypothesis testing for the colour blind problem. Electronic Journal of Statistics, 13, 4573–4595.

  • Cai, S., Chatrchi, G., Dumitrescu, L. and Rao, J. N. K. (2019). Two-fold subarea models for small area estimation: some theory and model selection. In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association online.

  • Dumitrescu, L., and Schiopu-Kratina, I. (2021). Strong consistency and optimality for generalized estimating equations with stochastic covariates online.

  • Sinha, S., Rao, J. N. K. and Dumitrescu, L. (2014). Robust small area estimation under semi-parametric mixed models. Canadian Journal of Statistics. 42, 126–141.

  • Dumitrescu, L. (2010). Estimation for a longitudinal linear model with measurement errors. Electronic Journal of Statistics. 4, 486–524.

  • Balan, R., Dumitrescu, L. and Schiopu-Kratina, I. (2010). Asymptotically optimal estimating equation with strongly consistent solutions for longitudinal data. Mathematical Methods of Statistics. 19, 93–120.

*Honours student

Here is a list of talks and here is a list of supervised students.