Publications related to An experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

A comparative analysis of implicit and explicit methods to model choice set generation

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

In this paper, we compare two methods to model the formation of choice sets in the context of discrete choice models. The first method is the probabilistic approach proposed by Manski (1977), who explicitly models the choice set generation process by expre ...

2009

Experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

Discrete choice models are defined conditional to the knowledge of the actual choice set by the analyst. The common practice for is to assume that individual-based choice sets can be deterministically generated based on the choice context and the character ...

2009

Approximation of Event Probabilities in Noisy Cellular Processes

Maria-Emanuela-Canini Mateescu, Verena Wolf

Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time stochastic models (CTMC) can be used to describe such effects, but the calculati ...

2009

Systematically heterogeneous covariance in network GEV Models

Jeffrey Newman

Mixed logit models can represent heterogeneity across individuals, in both observed and unobserved preferences, but require computationally expensive calculations to compute probabilities. A few methods for including error covariance heterogeneity in a clo ...

2009

Systematically heterogeneous covariance in network GEV models

Jeffrey Newman

Mixed logit models can represent heterogeneity across individuals, in both observed and unobserved preferences, but require computationally expensive calculations to compute probabilities. A few methods for including error covariance heterogeneity in a clo ...

2009

Estimation of discrete choice models under various sampling strategies

Michel Bierlaire

We first review the impact of various sampling strategies on the estimation of discrete choice models. In particular, consistent estimates of all parameters of a multinomial logit (MNL) model, except the constants, can be obtained from an exogenous sample ...

2009

An integrated adaptive model for overheating risk prediction

Darren Robinson, Frédéric Haldi

Based on the results from a field survey campaign, this article describes three new developments which have been integrated to provide a comprehensive basis for the evaluation of overheating risk in offices. Firstly, a set of logistic regression equations ...

2008

Permissiveness in Transactional Memories

Rachid Guerraoui, Vasu Singh

We introduce the notion of permissiveness in transactional memories (TM). Intuitively, a TM is permissive if it never aborts a transaction when it need not. More specifically, a TM is permissive with respect to a safety property

p

if the TM accepts every ...

2008

Permissiveness in Transactional Memories

Rachid Guerraoui, Vasu Singh

We introduce the notion of permissiveness in transactional memories (TM). Intuitively, a TM is permissive if it never aborts a transaction when it need not. More specifically, a TM is permissive with respect to a safety property p if the TM accepts every h ...

2008

Look Before You Leap: Market Opportunity Identification in Emerging Technology Firms

Marc Gruber, James David Thompson

Entrepreneurs play a fundamental role in bringing new technologies to market. Because technologies are often configurable to serve a variety of different markets, it is possible for entrepreneurs to identify multiple market opportunities prior to the first ...

2008

An experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

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A comparative analysis of implicit and explicit methods to model choice set generation

Experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

Approximation of Event Probabilities in Noisy Cellular Processes

Systematically heterogeneous covariance in network GEV Models

Systematically heterogeneous covariance in network GEV models

Estimation of discrete choice models under various sampling strategies

An integrated adaptive model for overheating risk prediction

Permissiveness in Transactional Memories

Permissiveness in Transactional Memories

Look Before You Leap: Market Opportunity Identification in Emerging Technology Firms

A comparative analysis of implicit and explicit methods to model choice set generation

Experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

Approximation of Event Probabilities in Noisy Cellular Processes

Systematically heterogeneous covariance in network GEV models

Permissiveness in Transactional Memories

Look Before You Leap: Market Opportunity Identification in Emerging Technology Firms

Systematically heterogeneous covariance in network GEV Models

Estimation of discrete choice models under various sampling strategies

Permissiveness in Transactional Memories

An integrated adaptive model for overheating risk prediction