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Applied Statistics

The aim of this new line of research in Applied Statistics is to consolidate BCAM as a reference in areas such as biostatistics, demography, environmental modeling, medical statistics, epidemiology, business analytics, and biomedical research applications involving data-driven mathematical and statistical tools. We aim to capture opportunities and challenges empowering collaboration with other research areas and groups (other BERC centers, business collaborators, Public Health institutions, government organizations, and Universities) in accessing, managing, integrating, analyzing and modeling datasets of diverse nature and complexity.

Wordcloud of terms related to applied statistics


Goal
Create innovative statistical models, inference methods, computational algorithms and visualization tools for analysis complex data sets from different and diverse sources.
Method
Statistical modeling with particular interests in semi-parametric regression, multidimensional smoothing, (Bayesian) hierarchical models, mixed and random effects models, spatial and spatio-temporal modeling, functional data analysis, computational statistics, and data visualization tools.
Eusko Jaurlaritza - Gobierno Vasco ikerbasque - Basque Foundation for Science Bizkaia xede. Bizkaiko Foru Aldundia innobasque - Agencia vasca de la innovación Universidad del PaÌs Vasco (UPV/EHU)