Alison Morris

Artificial Intelligence · with Benos · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Alison Morris trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diego Colombo
2. Tom L. Burr
3. Jiji Zhang
4. Peter Spirtes
5. Thomas S. Richardson

Papers from Alison Morris's perspective

Ordered by how strongly the researchers Alison Morris trusts endorse each paper. Same corpus, a different order for every researcher.

1. Causal Inference in the Presence of Latent Variables and Selection Bias
2. On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias
3. Learning high-dimensional directed acyclic graphs with latent and selection variables
4. Ancestral graph Markov models
5. Nonlinear causal discovery with additive noise models
6. Causation, Prediction, and Search
7. Adjacency-Faithfulness and Conservative Causal Inference
8. Order-independent constraint-based causal structure learning
9. Learning linear cyclic causal models with latent variables
10. Estimating causal effects of treatments in randomized and nonrandomized studies.

Their papers

• Comparison of Strategies for Scalable Causal Discovery of Latent Variable Models from Mixed Data (2018) — 69 citations