On the identifiability and estimation of functional causal models in the presence of outcome-dependent selection

Abstract

We study the identifiability and estimation of functional causal models under selection bias, with a focus on the situation where the selection depends solely on the effect variable, which is known as outcome-dependent selection. We address two questions of identifiability: the identifiability of the causal direction between two variables in the presence of selection bias, and, given the causal direction, the identifiability of the model with outcome-dependent selection. Regarding the first, we show that in the framework of post-nonlinear causal models, once outcome-dependent selection is properly modeled, the causal direction between two variables is generically identifiable; regarding the second, we identify some mild conditions under which an additive noise causal model with outcome-dependent selection is to a large extent identifiable. We also propose two methods for estimating an additive noise model from data that are generated with outcome-dependent selection.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 76,101

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Models of group selection.Deborah G. Mayo & Norman L. Gilinsky - 1987 - Philosophy of Science 54 (4):515-538.
A Priori Causal Models of Natural Selection.Elliott Sober - 2011 - Australasian Journal of Philosophy 89 (4):571 - 589.
Selection as a cause versus the causes of selection.A. Charles Catania - 2001 - Behavioral and Brain Sciences 24 (3):533-533.
Causal Foundations of Evolutionary Genetics.Jun Otsuka - 2014 - British Journal for the Philosophy of Science (1):axu039.
Causal Foundations of Evolutionary Genetics.Jun Otsuka - 2016 - British Journal for the Philosophy of Science 67 (1):247-269.

Analytics

Added to PP
2017-04-30

Downloads
16 (#669,090)

6 months
1 (#447,993)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Jiji Zhang
Lingnan University

Citations of this work

No citations found.

Add more citations