Ethan R. Deyle

Causal Inference & Discovery · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Causal Inference & Discovery — 20 citations into it
• Signal Processing — 13 citations into it

Whom Ethan R. Deyle trusts overall

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

1. Clive W. J. Granger

Who trusts Ethan R. Deyle overall

1. Matthew James Vowels

Papers from Ethan R. Deyle's perspective

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

1. Investigating causal relations by econometric models and cross-spectral methods
2. Deep Learning
3. Measuring information transfer
4. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
5. Learning with Kernels: support vector machines, regularization, optimization, and beyond
6. Elements of Causal Inference: Foundations and Learning Algorithms
7. The Book of Why: The New Science of Cause and Effect
8. Kernel-based Conditional Independence Test and Application in Causal Discovery
9. Dynamic causal modelling
10. The Direction of Time

Their papers

• Detecting Causality in Complex Ecosystems (2012) — 2,341 citations
• Distinguishing time-delayed causal interactions using convergent cross mapping (2015) — 434 citations
• Inferring causation from time series in Earth system sciences (2019) — 991 citations
• Causal feedbacks in climate change (2015) — 160 citations