Latent Dirichlet Analysis of Categorical Survey Responses

@article{Munro2019LatentDA,
  title={Latent Dirichlet Analysis of Categorical Survey Responses},
  author={Evan Munro and Serena Ng},
  journal={arXiv: Econometrics},
  year={2019}
}
  • Evan Munro, Serena Ng
  • Published 2019
  • Computer Science, Economics, Mathematics
  • arXiv: Econometrics
  • Data from surveys are increasingly available as the internet provides a new medium for conducting them. A typical survey consists of multiple questions, each with a menu of responses that are often categorical and qualitative in nature, and respondents are heterogeneous in both observed and unobserved ways. Existing methods that construct summary indices often ignore discreteness and do not provide adequately capture heterogeneity among individuals. We capture these features in a set of low… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 66 REFERENCES

    Bayesian Learning via Stochastic Gradient Langevin Dynamics

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Measuring and interpreting expectations of equity returns,

    • Journal of Applied Econometrics,
    • 2011
    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Non-negative source separation: range of admissible solutions and conditions for the uniqueness of the solution

    • S. Moussaoui, D. Brie, J. Idier
    • Computer Science, Mathematics
    • Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
    • 2005
    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements

    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL