Fetching the paper…
Reading the bibliography…
When causal quantities cannot be point identified, researchers often pursue partial identification to quantify the range of possible values.
Ü\vphantom{A}ber den variabilitätsbereich der koeffizienten von potenzreihen, die gegebene werte nicht annehmen
Carathéodory, C. (1907, March) · 1907
Earlier work this paper cites.
The Bayesian Bootstrap
Rubin, D. B. (1981) · 1981
Earlier work this paper cites.
Identifiability, exchangeability, and epidemiological confounding
Greenland, S. and J. Robins (1986) · 1986
Earlier work this paper cites.
Sunset salvo
Tukey, J. (1986) · 1986
Earlier work this paper cites.
An analysis of time-dependent planning
Dean, T. L. and M. Boddy (1988) · 1988
Earlier work this paper cites.
The analysis of randomized and non-randomized aids treatment trials using a new approach to causal inference in longitudinal studies
Robins, J. (1989) · 1989
Earlier work this paper cites.
Nonparametric bounds on treatment effects
Manski, C. (1990) · 1990
Earlier work this paper cites.
Equivalence and synthesis of causal models
Verma, T. and J. Pearl (1990) · 1990
Earlier work this paper cites.
Counterfactual probabilities: Computational methods, bounds and applications
Balke, A. and J. Pearl (1994) · 1994
Earlier work this paper cites.
Enumerating extreme points in higher dimensions
Ottmann, T., S. Schuierer, and S. Soundaralakshmi (1995) · 1995
Earlier work this paper cites.
On the testability of causal modelswith latent and instrumental variables
Pearl, J. (1995) · 1995
Earlier work this paper cites.
Identification of causal effects using instrumental variables
Angrist, J. D., G. W. Imbens, and D. B. Rubin (1996) · 1996
Earlier work this paper cites.
Bounds on treatment effects from studies with imperfect compliance
Balke, A. and J. Pearl (1997) · 1997
Earlier work this paper cites.
Quantifier elimination for statistical problems
Geiger, D. and C. Meek (1999, August) · 1999
Earlier work this paper cites.
Instrumentality tests revisited
Bonet, B. (2001) · 2001
Earlier work this paper cites.
Instrumental variables, selection models, and tight bounds on the average treatment effect
Heckman, J. and E. Vytlacil (2001) · 2001
Earlier work this paper cites.
Principal stratification in causal inference
Frangakis, C. E. and D. B. Rubin (2002) · 2002
Earlier work this paper cites.
Optimal confidence regions for the multinomial parameter
Malloy, M. L., A. Tripathy, and R. D. Nowak (2020) · 2002
Cited alongside, same era.
On the testable implications of causal models with hidden variables
Tian, J. and J. Pearl (2002) · 2002
Cited alongside, same era.
Markov properties for acyclic directed mixed graphs
Richardson, T. (2003) · 2003
Cited alongside, same era.
Estimation of causal effects via principal stratification when some outcomes are truncated by “death”
Zhang, J. L. and D. B. Rubin (2003) · 2003
Cited alongside, same era.
Microeconometrics with partial identification
Molinari, F. (2020) · 2004
Cited alongside, same era.
Nested Markov properties for acyclic directed mixed graphs
Richardson, T. S., R. J. Evans, J. M. Robins, and I. Shpitser (2017) · 2017
Later among the works it cites.
Margins of discrete bayesian networks
Evans, R. (2018) · 2018
Later among the works it cites.
Identification in graphical causal models
Shpitser, I. (2018) · 2018
Later among the works it cites.
Partial identification of the average treatment effect using instrumental variables: Review of methods for binary instruments, treatments, and outcomes
Swanson, S. A., M. A. Hernán, M. Miller, J. M. Robins, and T. S. Richardson (2018) · 2018
Later among the works it cites.
Scip: Global optimization of mixed-integer nonlinear programs in a branch-and-cut framework
Vigerske, S. and A. Gleixner (2018) · 2018
Later among the works it cites.
Smooth, identifiable supermodels of discrete dag models with latent variables
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
Wächter, A. and L. T. Biegler (2006) · 2006
Cited alongside, same era.
Bounds on direct effects in the presence of confounded intermediate variables
Cai, Z., M. Kuroki, J. Pearl, and J. Tian (2008) · 2008
Cited alongside, same era.
Branching and bounds tightening techniques for non-convex MINLP
Belotti, P., J. Lee, L. Liberti, F. Margot, and A. Wächter (2009) · 2009
Cited alongside, same era.
Training, wages, and sample selection: Estimating sharp bounds on treatment effects
Lee, D. (2009) · 2009
Cited alongside, same era.
Causality
Pearl, J. (2009) · 2009
Cited alongside, same era.
Partial identifiability in discrete data with measurement error
Finkelstein, N., R. Adams, S. Saria, and I. Shpitser (2020) · 2012
Cited alongside, same era.
Causal bounds and observable constraints for non-deterministic models
Ramsahai, R. R. (2012) · 2012
Cited alongside, same era.
Evans, R. J., T. S. Richardson, et al. (2019) · 2019
Later among the works it cites.
Survivor-complier effects in the presence of selection on treatment, with application to a study of prompt icu admission
Kennedy, E. H., S. Harris, and L. J. Keele (2019) · 2019
Later among the works it cites.
The inflation technique for causal inference with latent variables
Wolfe, E., R. W. Spekkens, and T. Fritz (2019) · 2019
Later among the works it cites.
Causal bounds for outcome-dependent sampling in observational studies
Gabriel, E. E., M. C. Sachs, and A. Sjölander (2020) · 2020
Later among the works it cites.
The scip optimization suite 7.0
Gamrath, G., D. Anderson, K. Bestuzheva, W.-K. Chen, L. Eifler, M. Gasse, P. Gemander, A. Gleixner, L. Gottwald, K. Halbig, et al. (2020) · 2020
Later among the works it cites.
Administrative records mask racially biased policing
Knox, D., W. Lowe, and J. Mummolo (2020) · 2020
Later among the works it cites.
Symbolic computation of tight causal bounds
Sachs, M., E. Gabriel, and A. Sjölander (2020) · 2020
Later among the works it cites.
Non-restrictive cardinalities and functional models for discrete latent variable dags
Finkelstein, N., E. Wolfe, and I. Shpitser (2021) · 2021
Closest in time.
The hulc: Confidence regions from convex hulls
Kuchibhotla, A. K., S. Balakrishnan, and L. Wasserman (2021) · 2021
Closest in time.
Bounds on causal effects and application to high dimensional data
Li, A. and J. Pearl (2021) · 2021
Closest in time.
What is your estimand? defining the target quantity connects statistical evidence to theory
Lundberg, I., R. Johnson, and B. M. Stewart (2021) · 2021
Closest in time.
Non-parametric methods for partial identification of causal effects
Zhang, J. and E. Bareinboim (2021, Feb) · 2021
Closest in time.