choice-modeling

There are 10 repositories under choice-modeling topic.

  • choice-learn

    artefactory/choice-learn

    Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .

    Language:Python402313

  • kiudee/pareto-embeddings

    Advanced choice modeling with multidimensional utility representations.

    Language:Python12200

  • pabloguarda/isuelogit

    Inverse Stochastic User Equilibrium with LOGIT assignment

    Language:Jupyter Notebook10001

  • antonindanalet/home_office_in_microcensus

    Binary logit based on the Mobility and Transport Microcensus 2015 explaining the "choice" of working - at least from time to time - from home in Switzerland.

    Language:Python2121

  • pabloguarda/route-choice-experiment

    Lab experiment to study the impact of time perception on route choices in public transit. It presents choice scenarios using animations or numerical attributes. It is implemented with PyQT and conducted with participants from Santiago, Chile and London, UK.

    Language:Python2101

  • Tayyabrahmani/AON-Penalty-Prediction

    Introducing the Apollo Choice Modelling for Penalty Shot Prediction GitHub repository. Utilizing Apollo choice modeling, our code predicts soccer penalty shots. Featuring a user-friendly R Shiny app, the model considers player data, shot locations, and goalkeeper behavior to estimate shot success.

    Language:Jupyter Notebook1100

  • edsandorf/gizmo

    A Collection of Utility Functions for Choice Modeling and Statistical Analysis

    Language:TeX0000

  • pabloguarda/perceived-route-choice

    This repository contains R code that analyzes data gathered from a lab experiment that studies the influence of time perception on route choices in public transport

    Language:R0100
  • Perceived_safety_choices

    panosgjuras/Perceived_safety_choices

    The model that has been uploaded to this repository aspires to describe routing behavior of micro-mobility modes, e.g., e-bikes and e-scoters, in relationship with traditional modes, e.g., private car and walking.

    Language:Python0602

  • NicoLopVal/Multin-Log-Reg-R

    This was the code I use to process a Multinomial Logistic Regression on R, with the Apollo Choice Modeling Package for R. Used to calculate the utility function of particular customers of vehicles in Bogotá, Colombia

    Language:R10