Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
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Updated
Feb 16, 2025 - Python
Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
Computational graph-based discrete choice models
Estimation of Gaussian Process - Latent Class Choice Models (GP-LCCM) using the Expectation Maximization (EM) algorithm
This library simulates the inventory control problem of perishable products by means of Discrete Choice Methods (DCM)
Estimation of Gaussian Bernoulli Mixture - Latent Class Choice Models (GBM-LCCM) using the Expectation Maximization (EM) algorithm
Supplementary Code and Data for "Network Formation and Dynamics among Multi-LLMs"
Python implementation of Multinomial Logit Model
This work pertains to detailed analysis, through survey in and around Kolkata region, of the existing Multi-Dimensional Poverty Index used by India to calculate the level of poverty at individual, state and nation level.
Provide a Stated Preference (SP) Survey analysis focusing separately on experimental design, questionnaire creation and SP econometrical analysis
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