Publications related to Latent variable model

Laplacian Matrix Learning for Smooth Graph Signal Representation

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

The construction of a meaningful graph plays a crucial role in the emerging field of signal processing on graphs. In this paper, we address the problem of learning graph Laplacians, which is similar to learning graph topologies, such that the input data fo ...

2015

Measuring the Effects of Economic Crisis on Users' Perceptions of Public Transport Quality

Dimitrios Efthymiou

Research was conducted to measure the effects of the economic crisis on public transport quality, user satisfaction, and transit demand. The survey used in this research extended a research effort that began in 2008; the survey aimed to analyze the variabi ...

2014

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 ...

Pergamon-Elsevier Science Ltd2014

Using semi-open questions to integrate perceptions in choice models

Michel Bierlaire, Aurélie Glerum, Bilge Atasoy

This research investigates the measurement of perceptions by means of adjectives freely reported by respondents in semi-open questions. It involved the use of semi-open responses of 1'763 Swiss individuals to develop indicators for a latent variable repres ...

Elsevier Sci Ltd2014

Estimation of bid functions for location choice and price modeling with a latent variable approach

Michel Bierlaire, Ricardo Daniel Hurtubia González

A new approach for the estimation of bid-rent functions for residential location choice is proposed. The method is based on the bid-auction approach and considers that the expected maximum bid of the auction is a latent variable that can be related to obse ...

Springer2014

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

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

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

Latent variable model

Laplacian Matrix Learning for Smooth Graph Signal Representation

Measuring the Effects of Economic Crisis on Users' Perceptions of Public Transport Quality

Integrating psychometric indicators in latent class choice models

Using semi-open questions to integrate perceptions in choice models

Estimation of bid functions for location choice and price modeling with a latent variable approach

Attitudes towards mode choice in Switzerland

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

Integrating psychometric indicators in latent class choice models

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

Enhanced measurement equations for latent class choice models

Graph Chatbot

Chat with Graph Search

Using semi-open questions to integrate perceptions in choice models

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

Integrating psychometric indicators in latent class choice models

Integrating psychometric indicators in latent class choice models

Attitudes towards mode choice in Switzerland

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

Enhanced measurement equations for latent class choice models

Laplacian Matrix Learning for Smooth Graph Signal Representation

Measuring the Effects of Economic Crisis on Users' Perceptions of Public Transport Quality

Estimation of bid functions for location choice and price modeling with a latent variable approach