Fetching the paper…
Reading the bibliography…
Causal inference is known to be very challenging when only observational data are available.
Sur les applications de la thar des probabilities aux experiences agaricales: Essay des principle (Translated and edited by D. Dabrowska and T. Speed, Statistical Science (1990), 5:465-480)
J.S. Neyman · 1923
Earlier work this paper cites.
The tariff on animal and vegetable oils
P.G. Wright · 1928
Earlier work this paper cites.
The fitting of straight lines if both variables are subject to error
A. Wald · 1940
Earlier work this paper cites.
Asymptotically efficient estimation of covariance matrices with linear structure
T.W. Anderson · 1973
Earlier work this paper cites.
Estimating causal effects of treatments in randomized and nonrandomized studies
D.B. Rubin · 1974
Earlier work this paper cites.
Structural Equations with latent variables
K.A. Bollen · 1989
Earlier work this paper cites.
Instrumental variables , volume 8
R.J. Bowden and D.A. Turkington · 1990
Earlier work this paper cites.
Equivalence and synthesis of causal models
T. Verma and J. Pearl · 1991
Earlier work this paper cites.
Identification of causal effects using instrumental variables
J.D. Angrist, G.W. Imbens, and D.B. Rubin · 1996
Earlier work this paper cites.
A characterization of Markov equivalence classes for acyclic digraphs
S.A. Andersson, D. Madigan, and M.D. Perlman · 1997
Earlier work this paper cites.
Marginal structural models and causal inference in epidemiology
J.M. Robins, M.A. Hernan, and B. Brumback · 2000
Earlier work this paper cites.
Causal discovery from changes
J. Tian and J. Pearl · 2001
Cited alongside, same era.
Optimal structure identification with greedy search
D. Chickering · 2002
Cited alongside, same era.
A linear non-Gaussian acyclic model for causal discovery
S. Shimizu, P.O. Hoyer, A. Hyvärinen, and A.J. Kerminen · 2006
Cited alongside, same era.
The Dantzig selector: Statistical estimation when p p is much larger than n n
E. Candes and T. Tao · 2007
Cited alongside, same era.
Nonlinear causal discovery with additive noise models
P.O. Hoyer, D. Janzing, J.M. Mooij, J. Peters, and B. Schölkopf · 2009
Cited alongside, same era.
Estimating high-dimensional intervention effects from observational data
M.H. Maathuis, M. Kalisch, and P. Bühlmann · 2009
Cited alongside, same era.
Statistics for high-dimensional data: Methods, theory and applications
P. Bühlmann and S. van de Geer · 2011
Later among the works it cites.
Characterization and greedy learning of interventional Markov equivalence classes of directed acyclic graphs
A. Hauser and P. Bühlmann · 2012
Later among the works it cites.
Using heteroscedasticity to identify and estimate mismeasured and endogenous regressor models
A. Lewbel · 2012
Later among the works it cites.
Single world intervention graphs (SWIGs): A unification of the counterfactual and graphical approaches to causality
T. Richardson and J.M. Robins · 2013
Later among the works it cites.
Large-scale genetic perturbations reveal regulatory networks and an abundance of gene-specific repressors
P. Kemmeren, K. Sameith, L.A. van de Pasch, J.J. Benschop, T.L. Lenstra, T. Margaritis, E. O’Duibhir, E. Apweiler, S. van Wageningen, C.W. Ko, S. van Heesch, M.M.. Kashani, G. Ampatziadis-Michailidis, M.O.. Brok, N.A. Brabers, A.J. Miles, D. Bouwmeester, S.R. van Hooff, H. van Bakel, E. Sluiters, L.V. Bakker, B. Snel, P. Lijnzaad, D. van Leenen, M.J. Groot Koerkamp, and F.C. Holstege · 2014
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Causality: Models, reasoning, and inference
J. Pearl · 2009
Cited alongside, same era.
On the conditions used to prove oracle results for the lasso
S. van de Geer and P. Bühlmann · 2009
Cited alongside, same era.
Assumptions of IV methods for observational epidemiology
V. Didelez, S. Meng, and N.A. Sheehan · 2010
Cited alongside, same era.
Signed directed acyclic graphs for causal inference
T.J. VanderWeele and J.M. Robins · 2010
Cited alongside, same era.
Rate minimaxity of the Lasso and Dantzig selector for the ℓ q \ell_{q} loss in ℓ r \ell_{r} balls
F. Ye and C.-H. Zhang · 2010
Cited alongside, same era.
Later among the works it cites.
Jointly interventional and observational data: Estimation of interventional Markov equivalence classes of directed acyclic graphs
A. Hauser and P. Bühlmann · 2015
Later among the works it cites.
Backshift: Learning causal cyclic graphs from unknown shift interventions
D. Rothenhäusler, C. Heinze, J. Peters, and N. Meinshausen · 2015
Later among the works it cites.
Methods for causal inference from gene perturbation experiments and validation
N. Meinshausen, A. Hauser, J.M. Mooij, J. Peters, P. Versteeg, and P. Bühlmann · 2016
Later among the works it cites.
Causal inference by using invariant prediction: Identification and confidence intervals
J. Peters, P. Bühlmann, and N. Meinshausen · 2016
Later among the works it cites.
R: A language and environment for statistical computing
R Core Team · 2017
Closest in time.
Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables
L. Wang and E. Tchetgen Tchetgen · 2017
Closest in time.