Publication

Mode choice with attitudinal latent class: a Swiss case-study

Related publications (38)

Attitudes towards mode choice in Switzerland

Michel Bierlaire, Aurélie Glerum, Bilge Atasoy

We integrate latent attitudes of individuals into a mode choice model through latent variable and latent class models with the help of psychometric indicators that enable us to measure these attitudes. The aim of the inclusion of attitudes is to better und ...

2013

Integrating psychometric indicators in latent class choice models

Michel Bierlaire, Ricardo Daniel Hurtubia González, Aurélie Glerum, My Hang Nguyen

Latent class models are a convenient and intuitive way to introduce taste heterogeneity in discrete choice models by relating attributes of the decision makers with unobserved behavioral classes, hence allowing for a more accurate market segmentation. Esti ...

2013

Linking response quality to survey engagement: A combined random scale and latent variable approach

Amanda Blomberg Stathopoulos

Recent interest in the topic of random scale heterogeneity in discrete choice data has led to the development of specialised tools such as the G-MNL model, as well as repeated claims that studies which fail to separate scale heterogeneity from heterogeneit ...

2013

Enhanced measurement equations for latent class choice models

Michel Bierlaire, Ricardo Daniel Hurtubia González, Aurélie Glerum, My Hang Nguyen

Integrating psychometric indicators in latent class choice models allows to enhance the characterization of the latent classes. In this research, we consider measurement equations that include socio-economic indicators of the decision-makers. We show that ...

2013

Modeling Route Choice Behavior Using Smartphone Data

Jingmin Chen

In this thesis, we develop methods for modeling route choice behavior using smartphone data. The developing global positioning system (GPS) technology and the popularity of smartphones have revolutionized the revealed preference route choice data collectio ...

EPFL2013

A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs

Jean-Marc Odobez, Rémi Emonet, Jagannadan Varadarajan

This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns called motifs from documents given as word×time count matrices (e.g., videos). In this model, documents are represented as a mixture of sequenti ...

Springer2013

Extremes: spatial parametric modeling

Anthony Christopher Davison

Statistics of spatial extremes is developing very rapidly, owing to the demands of applications in the environmental sciences and the insurance and risk industries. This entry sketches the main ideas, based on classical extreme-value statistics. The two ma ...

John Wiley2012

Statistical Modeling of Spatial Extremes

Anthony Christopher Davison, Simone Padoan

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection. This article reviews recent progress in the ...

Institute of Mathematical Statistics2012

Large Scale Variational Bayesian Inference for Structured Scale Mixture Models

Matthias Seeger, Young Jun Ko

Natural image statistics exhibit hierarchical dependencies across multiple scales. Representing such prior knowledge in non-factorial latent tree models can boost performance of image denoising, inpainting, deconvolution or reconstruction substantially, be ...

2012

Probabilistic multimodal map-matching with rich smartphone data

Michel Bierlaire, Jingmin Chen

This paper proposes a probabilistic method that infers the transport modes and the physical path of trips from smartphone data that were recorded during travels. This method synthesizes multiple kinds of data from smartphone sensors which provide relevant ...

2012

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