DI BIASE ROSA MARIA

Rosa Maria
Di Biase
Ricercatore Legge 240/10 - tempo determinato

Presentation

Rosa Maria Di Biase is currently Junior Researcher at the Department of Economics and Statistics of the University of Siena. 

She studied Mathematics (Bachelor's degree) and Statistics for sample surveys (Master's degree) at the University of Siena and she received her PhD in Science, Technologies and Biotechnologies for Sustainability at the University of Tuscia.

Her main fields of interest are related to the development of statistical methodologies for solving environmental problems, especially for preserving ecological diversity. In particular, her research activity is focused on sampling strategies, design-based inference, spatial interpolation and spatial map reconstruction in a design-based model-assisted approach.

She has published several scientific papers in peer-reviewed international journals.

Office hours

  • Tuesday from 10:00 to 13:00

Tuesday, 10.00-13.00

To fix an appointment, please send an e-mail to rosa.dibiase@unisi.it

Teaching activities

Completion accademic year: 2024/2025

Course year: 3 First cycle degree (DM 270) ECONOMICS AND MANAGEMENT A.Y. 2022/2023
Course year: 3 First cycle degree (DM 270) ECONOMICS AND MANAGEMENT A.Y. 2022/2023

Completion accademic year: 2023/2024

Course year: 3 First cycle degree (DM 270) ECONOMICS AND BANKING A.Y. 2021/2022

Completion accademic year: 2022/2023

Course year: 1 Second cycle degree (Laurea Magistrale) STATISTICS FOR SAMPLE SURVEYS A.Y. 2022/2023

Research

Ultime pubblicazioni:

  • DI BIASE, R.M., Marcheselli, M., Pisani, C. (2025). Strategies for exploiting auxiliary information and achieving spatial balance in environmental surveys. In Methodological and Applied Statistics and Demography II, SIS 2024, Short Papers, Solicited Sessions (pp.1-6). Springer. - view more
  • DI BIASE, R.M., Marcheselli, M., Pisani, C. (2024). Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions. ENVIRONMETRICS, 1-21 [10.1002/env.2869]. - view more
  • DI BIASE, R.M., Mecatti, F. (2024). Applying sequential adaptive strategies for sampling animal populations: An empirical study. ENVIRONMETRICS, 1-11 [10.1002/env.2870]. - view more
  • Francini, S., Marcelli, A., Chirici, G., Di Biase, R.M., Fattorini, L., Corona, P. (2024). Per-Pixel Forest Attribute Mapping and Error Estimation: The Google Earth Engine and R dataDriven Tool. SENSORS, 24(12) [10.3390/s24123947]. - view more
  • DI BIASE, R.M., Marcelli, A., Franceschi, S., Fattorini, L. (2023). Some empirical results on nearest neighbour pseudo-populations for resampling from spatial populations. In Proceedings of the GRASPA 2023 Conference (pp.52-57). Palermo : Università degli studi di Palermo. - view more