Statistical Learning Laboratory

The
Statistical Learning Lab at IACM-FORTH, aims to be at the forefront of applied
statistics and data science, with research on

– spatial
and spatio-temporal modelling

–
parametric nonlinear time series analysis

– Bayesian
modelling

–
nonparametric functional data analysis.

The Lab
addresses interdisciplinary research questions from a wide variety of fields,
including Social Sciences, Geo-Sciences, Bioinformatics and Biomedical
Engineering, Environmental and Transportation Engineering, among others.
Representative applications constitute network flow forecasting and incident
detection, predictive modelling for virtual heart transplants and Statistical
Analysis of Transportation Emissions from Real World Testing.

Modern
experimental designs and observational studies produce large and complex
datasets which require sophisticated analytical tools. The Lab’s mission is to

a)
collaborate with research groups from FORTH, the University of Crete and other
academic institutions in research projects, publications and patents related to
advanced quantitative analysis and predictive modelling;

b) team up
with industrial partners, offering consulting services and development of
analytics software, and

c) act as
an umbrella for researchers working in Cretan academic institutions who use and
develop statistical, econometric and machine learning models.

For more information visit the Statistical Learning Lab Website.