Discovering Causal Graphs with Cycles and Latent Confounders: An Exact Branch-and-Bound Approach

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	International Journal of Approximate Reasoning
Volume	117
Pages (from-to)	29-49
Number of pages	21
ISSN	0888-613X
DOIs	https://doi.org/10.1016/j.ijar.2019.10.009
Publication status	Published - Feb 2020
MoE publication type	A1 Journal article-refereed

Fields of Science

@article{1a81eadb4af74dfdaa4fc5a5d9b49f3d,

title = "Discovering Causal Graphs with Cycles and Latent Confounders: An Exact Branch-and-Bound Approach",

keywords = "113 Computer and information sciences",

author = "Kari Rantanen and Antti Hyttinen and Matti J{\"a}rvisalo",

year = "2020",

month = feb,

doi = "10.1016/j.ijar.2019.10.009",

language = "English",

volume = "117",

pages = "29--49",

journal = "International Journal of Approximate Reasoning",

issn = "0888-613X",

publisher = "Elsevier Scientific Publ. Co",

}

TY - JOUR

T1 - Discovering Causal Graphs with Cycles and Latent Confounders: An Exact Branch-and-Bound Approach

AU - Rantanen, Kari

AU - Hyttinen, Antti

AU - Järvisalo, Matti

PY - 2020/2

Y1 - 2020/2

KW - 113 Computer and information sciences

U2 - 10.1016/j.ijar.2019.10.009

DO - 10.1016/j.ijar.2019.10.009

M3 - Article

SN - 0888-613X

VL - 117

SP - 29

EP - 49

JO - International Journal of Approximate Reasoning

JF - International Journal of Approximate Reasoning

ER -