Presentations and Authors

Last name A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All

SOL. 5 - Neuroscience statistics - 28th June, h. 11.15-12.30, room 014

Modeling motor learning using heteroskedastic functional principal components analysis
Daniel Backenroth, Jeff Goldsmith, Michelle D. Harran, Juan C. Cortes, John W. Krakauer, Tomoko Kitago

SPE. 10 -BigData comes to school: Implications for learning, assessment & research - 29th June, h. 9.00-10.30, room 007

Profiles of students on account of complex problem solving (CPS) strategies exploited via log-data
Michela Gnaldi, Silvia Bacci, Samuel Greiff, Thiemo Kunze

SPE. 15 - Data science for marketing and business - 29th June, h. 14.00-15.30, room 013

A generalized exponential time series regression model for electricity prices
Tommaso Proietti, Niels Haldrup, Oskar Knapik

SOL. 10 - Data science for network data - 30th June, h. 9.00-10.15, room 013

Statistical analysis for partially observed multilayered networks
Johan Koskinen, Chiara Broccatelli, Peng Wang, Garry Robins

SPE. 17 - Nowcasting@work - 30th June, h. 14.15-15.45, room 004

Big Data Econometrics: Nowcasting and early Estimates XML
George Kapetanios, Massimiliano Marcellino

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