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Causal interpretation of stochastic differential equations

Causal interpretation of stochastic differential equations

31 March 2013
Alexander Sokol
N. Hansen
    CML
ArXivPDFHTML

Papers citing "Causal interpretation of stochastic differential equations"

8 / 8 papers shown
Title
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CML
BDL
136
11
0
28 Feb 2024
From Ordinary Differential Equations to Structural Causal Models: the
  deterministic case
From Ordinary Differential Equations to Structural Causal Models: the deterministic case
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
101
103
0
09 Aug 2014
Identifiability of Gaussian structural equation models with equal error
  variances
Identifiability of Gaussian structural equation models with equal error variances
J. Peters
Peter Buhlmann
CML
165
336
0
11 May 2012
On the Identifiability of the Post-Nonlinear Causal Model
On the Identifiability of the Post-Nonlinear Causal Model
Kun Zhang
Aapo Hyvarinen
CML
156
558
0
09 May 2012
Counterfactual analyses with graphical models based on local
  independence
Counterfactual analyses with graphical models based on local independence
K. Røysland
CML
74
29
0
06 Jun 2011
A general definition of influence between stochastic processes
A general definition of influence between stochastic processes
A. Gégout‐Petit
Daniel Commenges
87
20
0
22 May 2009
A martingale approach to continuous-time marginal structural models
A martingale approach to continuous-time marginal structural models
K. Røysland
84
47
0
19 Jan 2009
Graphical models for marked point processes based on local independence
Graphical models for marked point processes based on local independence
Vanessa Didelez
100
165
0
31 Oct 2007
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