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High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood.

K. Suotsalo, Y. Xu, J. Corander, and J. Pensar. Stat. Comput., 31 (6): 73 (2021)

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Johan Waern

Johan Verink

Johan Setianto

Johan Schloemann

Johan Corthals

Other publications of authors with the same name

Context-Specific and Local Independence in Markovian Dependence Structures.H. Nyman, J. Pensar, and J. Corander. Dependence Logic, Springer, (2016)A logical approach to context-specific independence.J. Corander, A. Hyttinen, J. Kontinen, J. Pensar, and J. Väänänen. Ann. Pure Appl. Log., 170 (9): 975-992 (2019)DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation.G. Hajj, J. Pensar, and G. Sandve. CoRR, (2022)Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood.J. Leppä aho, J. Pensar, T. Roos, and J. Corander. CoRR, (2016)High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study.J. Pensar, Y. Xu, S. Puranen, M. Pesonen, Y. Kabashima, and J. Corander. Comput. Stat. Data Anal., (2020)Learning pairwise Markov network structures using correlation neighborhoods.J. Kuronen, J. Corander, and J. Pensar. CoRR, (2019)Structure Learning for Bayesian Networks over Labeled DAGs.A. Hyttinen, J. Pensar, J. Kontinen, and J. Corander. PGM, volume 72 of Proceedings of Machine Learning Research, page 133-144. PMLR, (2018)Uncertainty quantification in automated valuation models with locally weighted conformal prediction.A. Hjort, G. Hermansen, J. Pensar, and J. Williams. CoRR, (2023)The role of local partial independence in learning of Bayesian networks.J. Pensar, H. Nyman, J. Lintusaari, and J. Corander. Int. J. Approx. Reason., (2016)Learning Chordal Markov Networks by Constraint Satisfaction.J. Corander, T. Janhunen, J. Rintanen, H. Nyman, and J. Pensar. NIPS, page 1349-1357. (2013)

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Disambiguation of "Pensar, Johan"

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High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood.

Please choose a person to relate this publication to

Johan Waern

Johan Verink

Johan Setianto

Johan Schloemann

Johan Corthals

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pensar, Johan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood.

Please choose a person to relate this publication to

Johan Waern

Johan Verink

Johan Setianto

Johan Schloemann

Johan Corthals

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood.