Research output per year
Research output per year
Personal profile
Fields of Science
- 112 Statistics and probability
- Bayesian modelling
- 113 Computer and information sciences
- Machine learning
- 1172 Environmental sciences
- Joint species distribution models
International and National Collaboration
Publications and projects within past five years.
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Lagrangian manifold Monte Carlo on Monge patches
Hartmann, M., Girolami, M. & Klami, A., 29 Jan 2022, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. Camps-Vall, G., Ruiz, F. J. R. & Valera, I. (eds.). Journal of Machine Learning Research, p. 4764-4781 18 p. (Proceedings of Machine Learning Research, PMLR; vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data
Vanhatalo, J., Hartmann, M. & Veneranta, L., Jun 2020, In: Bayesian analysis. 15, 2, p. 415-447 33 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Flexible Prior Elicitation via the Prior Predictive distribution
Hartmann, M., Agiashivili, G., Bürkner, P-C. & Klami, A., 4 Aug 2020, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence. AUAI Press / Association for Uncertainty in Artificial Intelligence, 10 p. (Conference on Uncertainty in Artificial Intelligence; vol. 124).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
A Bernoulli autoregressive moving average model applied to rainfall occurrence
Milani, E. A., Hartmann, M., Andrade, M. G. & Ribeiro Diniz, C. A., 21 Oct 2019, In: Communications in Statistics: Simulation and Computation. 48, 9, p. 2743-2756 14 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Approximate Bayesian inference in multivariate Gaussian process regression and applications to species distribution models
Hartmann, M., 20 Mar 2019, 1st ed. University of Helsinki: Unigrafia. 66 p.Research output: Thesis › Doctoral Thesis › Collection of Articles
Open Access
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Laskennallisesti tehokas päättely Riemannin pinnoilla
Hartmann, M., Williams Moreno Sanchez, B. & Yu, H.
01/09/2022 → 31/08/2025
Project: Adacemy of Finland: Postdoctoral Researcher
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Applying species distribution modeling in marine spatial planning and fisheries management
Vanhatalo, J., Hartmann, M., Liu, J. & Kaurila, K.
01/10/2016 → 30/09/2018
Project: Research project
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New models and methods to fuse spatial information from complementary sources
Vanhatalo, J., Hartmann, M., Liu, J. & Mäkinen, J. A.
Valtion perusrahoitus/hankkeet, Unknown funder
01/01/2015 → 31/12/2018
Project: University of Helsinki Three-Year Research Project
Activities
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Nordic probabilistic AI school
Marcelo Hartmann (Attendee)
3 May 2019 → 7 May 2019Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars
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Laplace approximation in multi-type data modelling with multivariate Gaussian process regression and applications
Marcelo Hartmann (Speaker)
3 Jun 2019Activity: Talk or presentation types › Oral presentation
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Jyväskylä summer school
Marcelo Hartmann (Attendee)
3 Aug 2019 → 11 Aug 2019Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars
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Workshop on Computational Mathematics and Data Science
Marcelo Hartmann (Attendee)
21 Aug 2018 → 24 Aug 2018Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars
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Stan conference 2018
Marcelo Hartmann (Attendee)
29 Aug 2018 → 31 Aug 2018Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars