ENBIS 2021 Spring Meeting

Session

Statistical models and applications

1.4.1

17 May 2021, 14:05

Online

Conveners

Statistical models and applications

• Roberto Fontana (Politecnico di Torino)

27. Monte Carlo methods for Fredholm integral equations

Francesca Romana Crucinio (Department of Statistics, University of Warwick)

17/05/2021, 14:05

Data Science in Process Industries

Fredholm integral equations of the first kind are the prototypical example of inverse ill-posed problem.
They model, among other things, density deconvolution, image reconstruction and find applications in epidemiology, medical imaging, nonlinear regression settings.
However, their numerical solution remains a challenging problem. Many techniques currently available require a preliminary...

44. Empirical copula methods for short-term temperature forecasting in Austria

Elisa Perrone (Eindhoven University of Technology)

17/05/2021, 14:25

Data Science in Process Industries

Weather forecasts are often expressed as an ensemble of forecasts obtained via multiple runs of deterministic physical models. Ensemble forecasts are affected by systematic errors and biases and have to be corrected via suitable statistical techniques. In this work, we focus on the statistical correction of multivariate weather forecasts based on empirical copulas.
We present the most common...

52. Persistent Homology for Market Basket Analysis

Sara Scaramuccia (Politecnico di Torino)

17/05/2021, 14:45

Data Science in Process Industries

In the last years, the possibility of improving the analysis of data by capturing intrinsic relations has proven to be a flourishing research direction in data analysis. Graphs and higher-order structures are more and more often associated to data in order to infer qualitative knowledge, possibly independently from the data embedding representation. In this direction, topological data analysis...