#### Filter Results:

- Full text PDF available (34)

#### Publication Year

2002

2018

- This year (8)
- Last 5 years (13)
- Last 10 years (28)

#### Publication Type

#### Co-author

#### Journals and Conferences

Learn More

Identity uncertainty is a pervasive problem in real-world data analysis. It arises whenever objects are not labeled with unique identifiers or when those identifiers may not be perceived perfectly.… (More)

- Ilya Shpitser, Judea Pearl
- UAI
- 2006

The subject of this paper is the elucidation of effects of actions from causal assumptions represented as a directed graph, and statistical knowledge given as a probability distribution. In… (More)

- Ilya Shpitser, Judea Pearl
- AAAI
- 2006

This paper is concerned with estimating the effects of actions from causal assumptions, represented concisely as a directed graph, and statistical knowledge, given as a probability distribution. We… (More)

- Chen Avin, Ilya Shpitser, Judea Pearl
- IJCAI
- 2005

Counterfactual quantities representing pathspecific effects arise in cases where we are interested in computing the effect of one variable on another only along certain causal paths in the graph (in… (More)

Identifying effects of actions (treatments) on outcome variables from observational data and causal assumptions is a fundamental problem in causal inference. This identification is made difficult by… (More)

- Tyler J. VanderWeele, Ilya Shpitser
- Annals of statistics
- 2013

The causal inference literature has provided a clear formal definition of confounding expressed in terms of counterfactual independence. The causal inference literature has not, however, produced a… (More)

- Ilya Shpitser, Judea Pearl
- UAI
- 2007

Counterfactual statements, e.g., ”my headache would be gone had I taken an aspirin” are central to scientific discourse, and are formally interpreted as statements derived from ”alternative worlds”.… (More)

- Tyler J. VanderWeele, Ilya Shpitser
- Biometrics
- 2011

We propose a new criterion for confounder selection when the underlying causal structure is unknown and only limited knowledge is available. We assume all covariates being considered are pretreatment… (More)

Counterfactual quantities representing pathspecific effects arise in cases where we are interested in computing the effect of one variable on another only along certain causal paths in the graph (in… (More)

- Razieh Nabi, Ilya Shpitser
- AAAI
- 2018

In this paper, we consider the problem of fair statistical inference involving outcome variables. Examples include classification and regression problems, and estimating treatment effects in… (More)