For decades, Discrete Choice Models (DCMs) have been used to describe, understand and predict human choice behaviour in a wide variety of contexts including transportation, healthcare and marketing. The field of discrete choice modelling is firmly rooted in economic theory, and most DCMs are based on the assumption that decision-makers, when asked to select an alternative among a set of presented alternatives, make deliberate trade-offs by employing a stable function to assign utility to each alternative, and then select the alternative with thehighest utility
SIGLEAvailable from British Library Document Supply Centre- DSC:9025.959(OU-TSU--817) / BLDSC - Brit...
Artificial Intelligence in form of Machine Learning classifiers is increasingly applied for travel c...
Background: Discrete choice models (DCMs) for moral choice analysis will likely lead to erroneous mo...
For decades, Discrete Choice Models (DCMs) have been used to describe, understand and predict human ...
Artificial Neural Networks (ANNs) are increasingly used for discrete choice analysis, being apprecia...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
While deep neural networks (DNNs) have been increasingly applied to choice analysis showing high pre...
Artificial Neural Networks (ANNs) are increasingly used for discrete choice analysis, being apprecia...
This electronic version was submitted by the student author. The certified thesis is available in th...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
Discrete choice models (DCMs) require a priori knowledge of the utility functions, especially how ta...
SIGLEAvailable from British Library Document Supply Centre- DSC:9025.959(OU-TSU--817) / BLDSC - Brit...
Artificial Intelligence in form of Machine Learning classifiers is increasingly applied for travel c...
Background: Discrete choice models (DCMs) for moral choice analysis will likely lead to erroneous mo...
For decades, Discrete Choice Models (DCMs) have been used to describe, understand and predict human ...
Artificial Neural Networks (ANNs) are increasingly used for discrete choice analysis, being apprecia...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
While deep neural networks (DNNs) have been increasingly applied to choice analysis showing high pre...
Artificial Neural Networks (ANNs) are increasingly used for discrete choice analysis, being apprecia...
This electronic version was submitted by the student author. The certified thesis is available in th...
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and bi...
Discrete choice models (DCMs) require a priori knowledge of the utility functions, especially how ta...
SIGLEAvailable from British Library Document Supply Centre- DSC:9025.959(OU-TSU--817) / BLDSC - Brit...
Artificial Intelligence in form of Machine Learning classifiers is increasingly applied for travel c...
Background: Discrete choice models (DCMs) for moral choice analysis will likely lead to erroneous mo...