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A case study of a "Dragon-King": The 1999 Venezuelan catastrophe

Related publications (32)

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Statistical analysis of clusters of extreme events

Mária Süveges

The thesis is a contribution to extreme-value statistics, more precisely to the estimation of clustering characteristics of extreme values. One summary measure of the tendency to form groups is the inverse average cluster size. In extreme-value context, th ...

EPFL2009

Learning and Predicting Multimodal Daily Life Patterns from Cell Phones

Daniel Gatica-Perez, Katayoun Farrahi

In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people's lives. We present a method that can discover routines from multiple modalities (location and proximity) jointly modeled, ...

2009

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daniel Gatica-Perez, Katayoun Farrahi

We present a framework built from two Hierarchical Bayesian topic models to discover human location-driven routines from mobile phones. The framework uses location-driven bag representations of people's daily activities obtained from celltower connections. ...

2008

What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data

Daniel Gatica-Perez, Katayoun Farrahi

IDIAP2008

Analyzing Flickr Groups

Daniel Gatica-Perez, Radu Andrei Negoescu

There is an explosion of community-generated multimedia content available online. In particular, Flickr constitutes a 200-million photo sharing system where users participate following a variety of social motivations and themes. Flickr groups are increasin ...

ACM2008

Analyzing Flickr Groups

Daniel Gatica-Perez, Radu Andrei Negoescu

IDIAP2008

Dynamical Dirichlet Mixture Model

Jean-Marc Odobez, Le Chen

In this report, we propose a statistical model to deal with the discrete-distribution data varying over time. The proposed model -- HMM+DM -- extends the Dirichlet mixture model to the dynamic case: Hidden Markov Model with Dirichlet mixture output. Both t ...

IDIAP2007

Infinite Models for Speaker Clustering

Fabio Valente

In this paper we propose the use of infinite models for the clustering of speakers. Speaker segmentation is obtained trough a Dirichlet Process Mixture (DPM) model which can be interpreted as a flexible model with an infinite a priori number of components. ...

2006

Infinite Models for Speaker Clustering

Fabio Valente

IDIAP2006

Mixture models for multivariate extremes

Marc-Olivier Boldi

This thesis is a contribution to multivariate extreme value statistics. The tail of a multivariate distribution function is characterized by its spectral distribution, for which we propose a new semi-parametric model based on mixtures of Dirichlet distribu ...

EPFL2004