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
Track:
 

Advances in Bayesian Nonparametrics

Flexible modelling of heterogeneous populations of networks: a Bayesian nonparametric approach
Francesco Barile, Simon Lunagomez, Bernardo Nipoti

Advances in Directional Statistics

Segmenting toroidal time series by nonhomogeneous hidden semi-Markov models
Francesco Lagona, Marco Mingione

Contributed papers

Bayesian aggregation of crowd judgments for quantitative fact checking
Michele Lambardi di San Miniato, Michela Battauz, Ruggero Bellio, Paolo Vidoni
New tour methods for visualizing high-dimensional data
Ursula Laa, Dianne Cook
Model-based clustering for torus data
Luca Greco, Antonio Lucadamo, Claudio Agostinelli
SARIMA models with multiple seasonality
Luisa Bisaglia, Francesco Lisi
Multi-level stochastic blockmodels for multiplex networks
Maria Francesca Marino, Matteo Sani, Monia Lupparelli
SUPERVISED CLASSIFICATION OF CURVES BY FUNCTIONAL DATA ANALYSIS: AN APPLICATION TO NEUROMARKETING DATA
salvatore Latora, Luigi Augugliaro
K-MEANS CLUSTERING – NEW VARIATIONS
Andrzej Sokolowski, Malgorzata Markowska, Maciej Laburda

Functional and Object-oriented Data Analysis

Sparse clustering for functional data
Fabio Centofanti, Antonio Lepore, Biagio Palumbo
Nonparametric local inference for functional data defined on manifold domains
Niels Lundtorp Olsen, Alessia Pini, Simone Vantini

IBS Session - Statistical methods for the analysis of health problems

CAUSAL INFERENCE ON THE IMPACT OF EXTREME AMBIENT TEMPERATURES ON POPULATION HEALTH
Michela Baccini, Alessandra Mattei, Giulio Biscardi, Aitana Lertxundi, Elena Degli Innocenti

Latent Variable and Hidden Markov Models for Big Data Analytics

How to build your latent Markov model: the role of time and space
Roland Langrock, Sina Mews

Measurement Uncertainty in Complex Models

An R Package for Multilevel Latent Class Analysis with Covariates
Johan Lyrvall

Networks and Higher-Order Networks Data Analysis and Applications

TESTING GRAPH CLUSTERABILITY: A DENSITY BASED STATISTICAL TEST FOR DIRECTED GRAPHS
Houyem Demni, Pierre Miasnikof, Alexander Y. Shestopaloff, Cristian Bravo, Yuri Lawryshyn

Performance Estimation and Players’ Classification: An Overlook Into Sports Analytics

Estimation of Teams' Strength for Handball Games Predictions Untitled
Florian Felice, Christophe Ley

Statistical Learning Methods in Finance and Business

The comparative analysis of publication activity in Hungary and Poland in the field of economics, finance and business
Pawe? Lula, Zsuzsanna Géring, Magdalena Talaga, Réka Tamássy