Context-sensitive ranking and choice in Python with PyTorch
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Updated
Feb 11, 2023 - Python
Context-sensitive ranking and choice in Python with PyTorch
Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
Advanced choice modeling with multidimensional utility representations.
Discrete choice model for the choice of mobility resources, used for the generation of a synthetic population (SynPop).
Balanced Incomplete Block Design - a custom implementation, not 100% accurate but very fast
R code for estimation of latent class logit model with aggregate data
R package for the Station Demand Forecasting Tool
Are consumers willing to pay a higher price for more sustainable fashion choices?
A discrete choice model created for Rstudio
Conjoint Analysis on consumer preferences on Sunnyvale, California Housing Market
Python code for "Qi Feng, J. George Shanthikumar, Mengying Sue, Consumer choice models and estimation: A review and extension, Production and Operations Management, 2022, 31(2): 847-867."
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