Juan Pablo Ferreira
  • About
  • Software
  • Research

Research

My research focuses on design-based inference and machine-learning-assisted estimators for finite populations, inference from non-probability samples, and small-area estimation, with an emphasis on official statistics.

Preprints

  • Ferreira, J. P. (2026). Direct domain estimation via regression-tree-assisted estimators in the production of official statistics. arXiv:2606.08289 [stat.ME]. https://arxiv.org/abs/2606.08289

  • Ferreira, J. P., & Goyeneche, J. J. (2026). Weighting a Census as a Non-Probability Sample: A Doubly Robust Framework for Correcting Differential Undercoverage in Uruguay’s 2023 Census. arXiv:2606.05666 [stat.ME]. https://arxiv.org/abs/2606.05666

  • Ferreira, J. P. (2026). weightflow: Declarative Staged Survey Weighting and Recipe-Aware Variance Estimation in R. Working paper.

Publications

  • Bisogno, M., Ferreira, J. P., & Goyeneche, J. J. (2026). Weighting the 2023 Uruguay Census: Correcting Omission Through Doubly Robust Estimators. The Survey Statistician, 93, 84. International Association of Survey Statisticians.

  • Ferreira, J. P., & Galmez, M. (2022). Uruguay adopts a new methodology for its Continuous Household Survey (CHS). The Survey Statistician, 86, 64. International Association of Survey Statisticians.

  • Ferreira, J. P. (2021). Metodología de la Encuesta Continua de Hogares (ECH). Instituto Nacional de Estadística (INE), Uruguay.

Technical reports

  • Weighting the 2023 Census: Census Omission Weights Report. Instituto Nacional de Estadística (INE), Uruguay. PDF

Software

  • weightflow: declarative staged survey weighting and recipe-aware variance estimation in R. Documentation · Source

Service

  • Committee member (tribunal), undergraduate thesis on the R package metasurvey (M. Loprete, tutor N. da Silva), Licenciatura en Estadística, Universidad de la República, December 2024.

Interests

Survey sampling and weighting · official statistics · design-based inference · machine-learning-assisted estimators · inference from non-probability samples · small-area estimation.

 

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