research
∙
05/25/2017
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion
Many real datasets contain values missing not at random (MNAR). In this ...
share
research
∙
07/14/2016
Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values
The PC algorithm allows investigators to estimate a complete partially d...
research
∙
09/17/2013
Calculation of Entailed Rank Constraints in Partially Non-Linear and Cyclic Models
The Trek Separation Theorem (Sullivant et al. 2010) states necessary and...
research
∙
03/20/2013
Detecting Causal Relations in the Presence of Unmeasured Variables
The presence of latent variables can greatly complicate inferences about...
research
∙
01/10/2013
Semi-Instrumental Variables: A Test for Instrument Admissibility
In a causal graphical model, an instrument for a variable X and its effe...
research
∙
10/19/2012
Strong Faithfulness and Uniform Consistency in Causal Inference
A fundamental question in causal inference is whether it is possible to ...
research
∙
10/19/2012
Learning Measurement Models for Unobserved Variables
Observed associations in a database may be due in whole or part to varia...
research
∙
07/04/2012
A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables
Different directed acyclic graphs (DAGs) may be Markov equivalent in the...
research
∙
07/04/2012
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables
It is well known that there may be many causal explanations that are con...
research
∙
06/13/2012
Discovering Cyclic Causal Models by Independent Components Analysis
We generalize Shimizu et al's (2006) ICA-based approach for discovering ...
research
∙
06/13/2012