Marko Järvenpää
Marko Järvenpää
Researcher, University of Oslo
Verified email at medisin.uio.no - Homepage
Title
Cited by
Cited by
Year
Elfi: Engine for likelihood-free inference
J Lintusaari, H Vuollekoski, A Kangasrääsiö, K Skytén, M Järvenpää, ...
The Journal of Machine Learning Research 19 (1), 643-649, 2018
312018
Efficient acquisition rules for model-based approximate Bayesian computation
M Järvenpää, MU Gutmann, A Pleska, A Vehtari, P Marttinen
Bayesian Analysis 14 (2), 595-622, 2019
302019
Gaussian process modelling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria
M Järvenpää, MU Gutmann, A Vehtari, P Marttinen
The Annals of Applied Statistics 12 (4), 2228-2251, 2018
172018
Data-based stochastic modeling of tree growth and structure formation
I Potapov, M Järvenpää, M Åkerblom, P Raumonen, M Kaasalainen
Silva Fennica 50 (1), 1-11, 2016
132016
ELFI: Engine for likelihood-free inference
A Kangasrääsiö, J Lintusaari, K Skytén, M Järvenpää, H Vuollekoski, ...
NIPS 2016 Workshop on Advances in Approximate Bayesian Inference, 2016
62016
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations
M Järvenpää, MU Gutmann, A Vehtari, P Marttinen
Bayesian Analysis, 2020
5*2020
Bayesian analysis of GUHA hypotheses
R Piché, M Järvenpää, E Turunen, M Šimůnek
Journal of Intelligent Information Systems 42 (1), 47-73, 2014
52014
Bayes Forest: a data-intensive generator of morphological tree clones
I Potapov, M Järvenpää, M Åkerblom, P Raumonen, M Kaasalainen
GigaScience 6 (10), gix079, 2017
32017
A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation
M Järvenpää, MRA Sater, GK Lagoudas, PC Blainey, LG Miller, ...
PLoS computational biology 15 (4), e1006534, 2019
22019
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria
M Järvenpää, M Gutmann, A Vehtari, P Marttinen
stat 1050, 21, 2017
22017
Bayesian hierarchical model of total variation regularisation for image deblurring
M Järvenpää, R Piché
arXiv preprint arXiv:1412.4384, 2014
22014
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
M Jarvenpaa, A Vehtari, P Marttinen
Conference on Uncertainty in Artificial Intelligence, 779-788, 2020
12020
Similar temperature sensitivity of soil mineral-associated organic carbon regardless of age
K Karhu, E Hilasvuori, M Järvenpää, L Arppe, BT Christensen, H Fritze, ...
Soil Biology and Biochemistry 136, 107527, 2019
12019
Gaussian Process Surrogate Methods for Sample-Efficient Approximate Bayesian Computation
M Järvenpää
Aalto University, 2020
2020
A Bayesian model of acquisition and clearance of bacterial colonization
M Järvenpää, MRA Sater, GK Lagoudas, PC Blainey, LG Miller, ...
arXiv preprint arXiv:1811.10958, 2018
2018
A generator of morphological clones for plant species
I Potapov, M Järvenpää, M Åkerblom, P Raumonen, M Kaasalainen
bioRxiv, 108530, 2017
2017
Temperature sensitivity of decomposition of soil organic carbon fractions
E Hilasvuori, M Järvenpää, A Akujärvi, L Arppe, BT Christensen, H Fritze, ...
EGUGA, 11435, 2015
2015
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Articles 1–17