Juho Piironen

Doctoral Candidate

Research outputs

  1. 2019
  2. Published

    Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution

    Paananen, T., Piironen, J., Andersen, M. & Vehtari, A., 16 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics. 10 p. (Proceedings of Machine Learning Research; vol. 89).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Published

    Bayesian Predictive Inference and Feature Selection for High-Dimensional Data

    Piironen, J., 2019, Aalto University. 190 p.

    Research output: ThesisDoctoral ThesisCollection of Articles

  4. 2018
  5. Published

    Iterative Supervised Principal Components

    Piironen, J. & Vehtari, A., 2018, International Conference on Artificial Intelligence and Statistics, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands. Storkey, A. & Perez-Cruz, F. (eds.). 9 p. (Proceedings of Machine Learning Research; vol. 84).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  6. 2017
  7. Published

    Comparison of Bayesian predictive methods for model selection

    Piironen, J. & Vehtari, A., 2017, In : STATISTICS AND COMPUTING. 27, 3, p. 711-735 25 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Published

    On the hyperprior choice for the global shrinkage parameter in the horseshoe prior

    Piironen, J. & Vehtari, A., 2017, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics. 9 p. (Proceedings of Machine Learning Research; vol. 54).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. Published

    Sparsity information and regularization in the horseshoe and other shrinkage priors

    Piironen, J. & Vehtari, A., 2017, In : ELECTRONIC JOURNAL OF STATISTICS. 11, 2, p. 5018-5051

    Research output: Contribution to journalArticleScientificpeer-review

  10. 2016
  11. Published

    Projection predictive model selection for Gaussian processes

    Piironen, J. & Vehtari, A., 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) . IEEE Xplore digital library, (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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