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

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

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

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

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

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

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

  10. MCMC algorithm to estimate multinomial probit and robit model with alternative-specific degree of freedoms. [Paper] [Julia Code]

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