Seuraa
Marko Järvenpää
Marko Järvenpää
Vahvistettu sähköpostiosoite verkkotunnuksessa medisin.uio.no - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
ELFI: Engine for likelihood-free inference
J Lintusaari, H Vuollekoski, A Kangasrääsiö, K Skytén, M Järvenpää, ...
Journal of Machine Learning Research 19 (16), 1-7, 2018
762018
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
712019
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
382018
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations
M Järvenpää, MU Gutmann, A Vehtari, P Marttinen
Bayesian Analysis 16 (1), 147-178, 2021
332021
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
182019
Data-based stochastic modeling of tree growth and structure formation
I Potapov, M Järvenpää, M Åkerblom, P Raumonen, M Kaasalainen
Silva Fennica 50 (1), 2015
162015
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
132020
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
102019
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
92016
Yasso15 graphical userinterface manual
A Repo, M Järvenpää, J Kollin, J Rasinmäki, J Liski
82020
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
62017
Bayesian analysis of GUHA hypotheses
R Piché, M Järvenpää, E Turunen, M Šimůnek
Journal of Intelligent Information Systems 42, 47-73, 2014
62014
Bayesian hierarchical model of total variation regularisation for image deblurring
M Järvenpää, R Piché
arXiv preprint arXiv:1412.4384, 2014
22014
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
M Järvenpää, J Corander
arXiv preprint arXiv:2104.03942, 2021
12021
A non-adaptive demographic mechanism for genome expansion in Streptomyces
MJ Choudoir, MJ Järvenpää, P Marttinen, DH Buckley
bioRxiv, 2021.01. 09.426074, 2021
12021
Gaussian Process Surrogate Methods for Sample-Efficient Approximate Bayesian Computation
M Järvenpää
Aalto University, 2020
12020
On predictive inference for intractable models via approximate Bayesian computation
M Järvenpää, J Corander
Statistics and Computing 33 (2), 42, 2023
2023
Batch simulations and uncertainty quantification in Gaussian process surrogate ABC
M Järvenpää, A Vehtari, P Marttinen
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
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Artikkelit 1–20