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
A discrete choice model created for Rstudio
Conjoint Analysis on consumer preferences on Sunnyvale, California Housing Market
Are consumers willing to pay a higher price for more sustainable fashion choices?
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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