Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Antti J. Kerminen"'
Publikováno v:
International Journal of Approximate Reasoning. 49(2):362-378
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fields including economics and social science, where controlled experiments
Publikováno v:
Independent Component Analysis and Blind Signal Separation ISBN: 9783540326304
ICA
University of Helsinki
ICA
University of Helsinki
Causal discovery is the task of finding plausible causal relationships from statistical data [1,2]. Such methods rely on various assumptions about the data generating process to identify it from uncontrolled observations. We have recently proposed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74d1027afb5c1734beebfffde48b75d6
https://doi.org/10.1007/11679363_15
https://doi.org/10.1007/11679363_15
Publikováno v:
University of Helsinki
Independent Component Analysis and Blind Signal Separation ISBN: 9783540326304
ICA
Independent Component Analysis and Blind Signal Separation ISBN: 9783540326304
ICA
Independent component analysis (ICA) has been extensively studied since it was originated in the field of signal processing. However, almost all the researches have focused on estimation and paid little attention to testing. In this paper, we discuss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2d4dd6ffb4e1213e0193a8824b3f76c
https://researchportal.helsinki.fi/en/publications/02c2c8c3-bca1-416c-833a-0f2e455cebfd
https://researchportal.helsinki.fi/en/publications/02c2c8c3-bca1-416c-833a-0f2e455cebfd