Dataset OViN prepared for analysis discrete choice models and supernetworks + scripts Python + results for DCM and each case-study (Delft-Rotterdam, Sioux Falls, test networks, Delft) in dissertation
Dataset of 418 primary school teachers' preferences on ICT-based teaching characteristics, analyzed using Discrete Choice Models, specifically McFadden's conditional logit model. The data includes var
Parameter values and error terms for all twenty instances in each of the five datasets discussed in "Optimising Electric Vehicle Charging Station Placement using Advanced Discrete Choice Models". Inst
The multinomial probit model is often used to analyze choice behavior. However, estimation with existing Markov chain Monte Carlo (MCMC) methods is computationally costly, which limits its applicabili