TY - GEN
T1 - A Comparison of Penalized Regressions for Estimating Directed Acyclic Networks
AU - Lee, Kyu Min
AU - Han, Sung Won
AU - Yun, Hyungbin
N1 - Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/8/14
Y1 - 2018/8/14
N2 - Network models can be classified into two large groups: undirected and directed. Directed network graphs that can represent causal relationships are likely more appropriate in bio-medical data. There have been many studies to estimate DAGs(Directed Acyclic Graphs), of which the two-stage approach using lasso effectively. Find the edges between the nodes in the first step and find the direction in the second step. In this paper, we try to compare which penalized regression is better to find neighborhoods through simulations. We present the result of the simulations that shows which penalized regression is the best.
AB - Network models can be classified into two large groups: undirected and directed. Directed network graphs that can represent causal relationships are likely more appropriate in bio-medical data. There have been many studies to estimate DAGs(Directed Acyclic Graphs), of which the two-stage approach using lasso effectively. Find the edges between the nodes in the first step and find the direction in the second step. In this paper, we try to compare which penalized regression is better to find neighborhoods through simulations. We present the result of the simulations that shows which penalized regression is the best.
UR - http://www.scopus.com/inward/record.url?scp=85052532163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052532163&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2018.8437027
DO - 10.1109/ICUFN.2018.8437027
M3 - Conference contribution
AN - SCOPUS:85052532163
SN - 9781538646465
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 18
EP - 21
BT - ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018
Y2 - 3 July 2018 through 6 July 2018
ER -