389 citations · 818 across the 5 of their papers we have counts for
5 papers
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter L. Spirtes, Christopher Meek, Thomas S. Richardson
We show that there is a general, informative and reliable procedure for discovering causal relations when, for all the investigator knows, both latent variables and selection bias…
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
This paper presents correct algorithms for answering the following two questions; (i) Does there exist a causal explanation consistent with a set of background knowledge which expl…
Using Temporal Data for Making Recommendations
Andrew Zimdars, David Maxwell Chickering, Christopher Meek
We treat collaborative filtering as a univariate time series estimation problem: given a user's previous votes, predict the next vote. We describe two families of methods for trans…
Finding Optimal Bayesian Networks
David Maxwell Chickering, Christopher Meek
In this paper, we derive optimality results for greedy Bayesian-network search algorithms that perform single-edge modifications at each step and use asymptotically consistent scor…
ARMA Time-Series Modeling with Graphical Models
Bo Thiesson, David Maxwell Chickering, David Heckerman +1
We express the classic ARMA time-series model as a directed graphical model. In doing so, we find that the deterministic relationships in the model make it effectively impossible t…