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Properties, advantages, and drawbacks of the block logit model

Related publications (38)

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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

Distributed inference over regression and classification models

Ali H. Sayed

We study the distributed inference task over regression and classification models where the likelihood function is strongly log-concave. We show that diffusion strategies allow the KL divergence between two likelihood functions to converge to zero at the r ...

IEEE2013

A Comparative Study of Time Delay Estimation Techniques for Road Vehicle Tracking

Hervé Lissek, Xavier Falourd, Patrick Marmaroli

This paper addresses road traffic monitoring using passive acoustic sensors. Recently, the feasibility of the joint speed and wheelbase length estimation of a road vehicle using particle filtering has been demonstrated. In essence, the direction of arrival ...

2012

New Challenges in Disaggregate Behavioral Modeling

Thomas Robin

This thesis tackles new challenges associated with the disaggregate modeling of the human behavior. Decision-aid tools help in making decisions, by providing quantitative insights on the decisions and associated consequences. They are useful in complex sit ...

EPFL2011

Distributed bearing estimation via matrix completion

Volkan Cevher

We consider bearing estimation of multiple narrow-band plane waves impinging on an array of sensors. For this problem, bearing estimation algorithms such as minimum variance distortionless response (MVDR), multiple signal classification, and maximum likeli ...

2010

A novel estimation of feature-space MLLR for full-covariance models

Pinar Akyazi, Samuel Thomas

In this paper we present a novel approach for estimating feature-space maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maximizing the likelihood function by repeated line search in the direction of th ...

IEEE2010

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

Discrete choice models are constantly in evolution in the literature. Since they enable to capture wide range of situations, they have been widely used by researchers and also practitioners in several fields of applications including econometrics and trans ...

2009

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

2009

Estimation of discrete choice models: extending BIOGEME

Michel Bierlaire, Mamy Nirina Fetiarison

BIOGEME is a free software package for estimating by maximum likelihood a broad range of random utility models. It can estimate particularly Multivariate Extreme Value (MEV) models including the logit model, the nested logit model, the cross-nested logit m ...

2009

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