1. Designed quadrature to approximate integrals in maximum simulated likelihood estimation. [Paper] [MATLAB Code]

2. Expectation-maximisation algorithm for the modified hidden Markov model with instance-based learning. [Paper] [Python Code]

3. A multinomial probit model with Choquet integral and attribute cut-offs. [Paper] [Python code]

4. Variational Bayes for mixed multinomial logit model. [Paper] [Python Code]

5. Variational Bayes for spatial count data model. [Paper] [Python Code]

6. MCMC algorithm to estimate spatial count data model with Bayesian additive regression trees. [Paper][Python Code]

7. Parallel implementation of kernel multinomial logit model. [Paper] [R Code]

8. Logit mixed logit model with fixed and random parameters (preference space). [Paper 1] [Paper 2] [MATLAB Code]

9. Mixed Logit with Inter-intra-individual heterogeneity. [Paper] [Python Code]

10. A continuous-multinomial response model with a t-distributed error kernel. [Paper][Python Code]

11. MCMC algorithm to estimate multinomial probit and robit model. [Paper] [Julia Code]

12. Maximum likelihood estimation of the multinomial probit with analytical gradient. [MATLAB Code]

Note: please cite the relevant paper if you end up using any of the above codes.