STATISTICS AND COMPUTING

Research outputs

  1. 2019
  2. Published

    A probabilistic model for the numerical solution of initial value problems

    Schober, M., Särkkä, S. & Hennig, P., 15 Jan 2019, In : STATISTICS AND COMPUTING. 29, 1, p. 99-122 24 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Published

    Hilbert space methods for reduced-rank Gaussian process regression

    Solin, A. & Särkkä, S., 2019, In : STATISTICS AND COMPUTING. 28 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Accepted/In press

    Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective

    Tronarp, F., Kersting, H., Särkkä, S. & Hennig, P., 2019, (Accepted/In press) In : STATISTICS AND COMPUTING. 19 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. 2018
  6. Published

    Likelihood-free inference via classification

    Gutmann, M. U., Dutta, R., Kaski, S. & Corander, J., 2018, In : STATISTICS AND COMPUTING. 28, 2, p. 411–425 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 2017
  8. Published

    Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

    Vehtari, A., Gelman, A. & Gabry, J., Sep 2017, In : STATISTICS AND COMPUTING. 27, 5, p. 1413–1432

    Research output: Contribution to journalArticleScientificpeer-review

  9. Published

    Statistical analysis of differential equations: introducing probability measures on numerical solutions

    Conrad, P. R., Girolami, M., Särkkä, S., Stuart, A. & Zygalakis, K., 1 Jul 2017, In : STATISTICS AND COMPUTING. 27, 4, p. 1065-1082 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. 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

  11. Published

    Learning discrete decomposable graphical models via constraint optimization

    Janhunen, T., Gebser, M., Rintanen, J., Nyman, H., Pensar, J. & Corander, J., 2017, In : STATISTICS AND COMPUTING. 27, 1, p. 115-130

    Research output: Contribution to journalArticleScientificpeer-review

  12. 2016
  13. Accepted/In press

    Probability Measures for Numerical Solutions of Differential Equations

    Conrad, P., Girolami, M., Särkkä, S., Stuart, A. & Zygalakis, K., 2016, (Accepted/In press) In : STATISTICS AND COMPUTING.

    Research output: Contribution to journalArticleScientificpeer-review

  14. 2015
  15. Published

    A case study of the widely applicable Bayesian information criterion and its optimality

    Mononen, T., 2015, In : STATISTICS AND COMPUTING. 25, 5, p. 929-940

    Research output: Contribution to journalArticleScientificpeer-review

  16. Published

    Posterior inference on parameters of stochastic differential equations via non-linear Gaussian filtering and adaptive MCMC

    Särkkä, S., Hartikainen, J., Mbalawata, I. S. & Haario, H., 2015, In : STATISTICS AND COMPUTING. 25, 2, p. 427-437

    Research output: Contribution to journalArticleScientificpeer-review

  17. 2014
  18. Published

    Understanding predictive information criteria for Bayesian models

    Gelman, A., Hwang, J. & Vehtari, A., 2014, In : STATISTICS AND COMPUTING. 24, 6, p. 997-1016

    Research output: Contribution to journalArticleScientificpeer-review

ID: 396130