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Stratified Gaussian graphical models

Referentgranskad
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DOI
10.1080/03610926.2015.1105979
Nyman, Henrik; Pensar, Johan; Corander, Jukka
Communications in statistics: theory and methods2017Publicationer information ikon

Computing maximum likelihood estimates for Gaussian graphical models with Macaulay2

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DOI
10.2140/jsag.2022.12.1
Améndola, Carlos; Puente, Luis David García; Homs, Roser; Kuznetsova, Olga; Motwani, Harshit J.
Journal of Software for Algebra and Geometry2022Publicationer information ikon

Stratified graphical models - context-specific independence in graphical models

Referentgranskad
Henrik Nyman; Johan Pensar; Timo Koski; Jukka Corander
Bayesian Analysis2014Publicationer information ikon

Learning Gaussian graphical models with fractional marginal pseudo-likelihood

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DOI
10.1016/j.ijar.2017.01.001
Leppä-Aho, Janne; Pensar, Johan ; Roos, Teemu Teppo; Corander, Jukka
International Journal of Approximate Reasoning2017Publicationer information ikon

Learning Gaussian graphical models with fractional marginal pseudo-likelihood

Referentgranskad
Janne Leppä-Aho, Johan Pensar, Teemu Roos, Jukka Corander
International Journal of Approximate Reasoning2017Publicationer information ikon

Learning undirected graphical models using persistent sequential Monte Carlo

Referentgranskad
DOI
10.1007/s10994-016-5564-x
Xiong, Hanchen; Szedmak, Sandor; Piater, Justus
Machine Learning2016Publicationer information ikon

Indoor Positioning with Probabilistic Graphical Models in RIS-Enhanced mmWave MIMO Systems

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DOI
10.1109/EuCNC/6GSummit60053.2024.10597033
Tercas, Leonardo; Schroeder, Rafaela; He, Jiguang; Juntti, Markku
European conference on networks and communications2024Publicationer information ikon

Learning discrete decomposable graphical models via constraint optimization

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DOI
10.1007/s11222-015-9611-4
Janhunen, Tomi; Gebser, Martin; Rintanen, Jussi; Nyman, Henrik; Pensar, Johan; Corander, Jukka
Statistics and computing2017Publicationer information ikon

A General Coding Scheme for Signaling Gaussian Processes over Gaussian Decision Models

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DOI
10.1109/SPAWC.2018.8445982
Charalambous, Charalambos D.; Kourtellaris, Christos K.; Charalambous, Themistoklis
IEEE International Workshop on Signal Processing Advances in Wireless Communications2018Publicationer information ikon

Stratified graphical models - context-specific independence in graphical models

Referentgranskad
Nyman, Henrik; Pensar, Johan; Koski, Timo; Corander, Jukka
Bayesian analysis2014

Stratified Gaussian graphical models

Referentgranskad
Öppen tillgång
DOI
10.1080/03610926.2015.1105979
2017

Computing maximum likelihood estimates for Gaussian graphical models with Macaulay2

Referentgranskad
Öppen tillgång
DOI
10.2140/jsag.2022.12.1
2022

Stratified graphical models - context-specific independence in graphical models

Referentgranskad
2014

Learning Gaussian graphical models with fractional marginal pseudo-likelihood

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ijar.2017.01.001
2017

Learning Gaussian graphical models with fractional marginal pseudo-likelihood

Referentgranskad
2017

Learning undirected graphical models using persistent sequential Monte Carlo

Referentgranskad
DOI
10.1007/s10994-016-5564-x
2016

Indoor Positioning with Probabilistic Graphical Models in RIS-Enhanced mmWave MIMO Systems

Referentgranskad
Öppen tillgång
DOI
10.1109/EuCNC/6GSummit60053.2024.10597033
2024

Learning discrete decomposable graphical models via constraint optimization

Referentgranskad
Öppen tillgång
DOI
10.1007/s11222-015-9611-4
2017

A General Coding Scheme for Signaling Gaussian Processes over Gaussian Decision Models

Referentgranskad
Öppen tillgång
DOI
10.1109/SPAWC.2018.8445982
2018

Stratified graphical models - context-specific independence in graphical models

Referentgranskad
2014