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Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.

J. Gillberg, P. Marttinen, M. Pirinen, A. Kangas, P. Soininen, M. Järvelin, M. Ala-Korpela, and S. Kaski. CoRR, (2013)

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Pekka Helstelä

Pekka Kärkkäinen

Pekka Leiß

Pekka Jänis

Pekka Roisko

Other publications of authors with the same name

Bayesian clustering and feature selection for cancer tissue samples.P. Marttinen, S. Myllykangas, and J. Corander. BMC Bioinform., (2009)Bayesian modeling of recombination events in bacterial populations.P. Marttinen, A. Baldwin, W. Hanage, C. Dowson, E. Mahenthiralingam, and J. Corander. BMC Bioinform., (2008)Efficient Bayesian approach for multilocus association mapping including gene-gene interactions.P. Marttinen, and J. Corander. BMC Bioinform., (2010)Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computationM. Järvenpää, A. Vehtari, and P. Marttinen. (2019)cite arxiv:1910.06121.biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements.M. Pirinen, C. Benner, P. Marttinen, M. Järvelin, M. Rivas, and S. Ripatti. Bioinform., 33 (15): 2405-2407 (2017)Multitask Balanced and Recalibrated Network for Medical Code Prediction.W. Sun, S. Ji, E. Cambria, and P. Marttinen. ACM Trans. Intell. Syst. Technol., 14 (1): 17:1-17:20 (February 2023)Multiple Output Regression with Latent Noise.J. Gillberg, P. Marttinen, M. Pirinen, A. Kangas, P. Soininen, M. Ali, A. Havulinna, M. Järvelin, M. Ala-Korpela, and S. Kaski. J. Mach. Learn. Res., (2016)Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics.A. Odnoblyudova, C. Hizli, S. John, A. Cognolato, A. Juuti, S. Särkkä, K. Pietiläinen, and P. Marttinen. ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 428-444. PMLR, (2023)Identifiable causal inference with noisy treatment and no side information.A. Pöllänen, and P. Marttinen. CoRR, (2023)Multitask Recalibrated Aggregation Network for Medical Code Prediction.W. Sun, S. Ji, E. Cambria, and P. Marttinen. ECML/PKDD (4), volume 12978 of Lecture Notes in Computer Science, page 367-383. Springer, (2021)

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Disambiguation of "Marttinen, Pekka"

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Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.

Please choose a person to relate this publication to

Pekka Helstelä

Pekka Kärkkäinen

Pekka Leiß

Pekka Jänis

Pekka Roisko

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Marttinen, Pekka"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.

Please choose a person to relate this publication to

Pekka Helstelä

Pekka Kärkkäinen

Pekka Leiß

Pekka Jänis

Pekka Roisko

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.