Marco Scutari
Genetics · 2009–2015
A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 15 citations into it
- Statistics and Probability — 11 citations into it
- Artificial Intelligence — 7 citations into it; #2,866 of 35,345 by trust here, #16,771 by citations
- Plant Science — 6 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Marco Scutari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Maxwell Chickering
- Ioannis Tsamardinos
- Tom L. Burr
- Nir Friedman
- Jorma Rissanen
- Dimitris Margaritis
- Pierre Legendre
- Robert Tibshirani
- Thomas Verma
- Markus Kalisch
Who trusts Marco Scutari overall
- Richard J. McNally
- Jack Kuipers
- Diviyan Kalainathan
- Bruce G. Marcot
- Sacha Epskamp
- Marloes H. Maathuis
- Christina Heinze-Deml
- Preetam Nandy
- Emily E. Bernstein
- Payton J. Jones
Papers from Marco Scutari's perspective
Ordered by how strongly the researchers Marco Scutari trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- Addendum: Regularization and variable selection via the elastic net
- Learning Bayesian networks: The combination of knowledge and statistical data
- Optimal Structure Identification With Greedy Search
- Estimating the Dimension of a Model
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Equivalence and Synthesis of Causal Models
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- Causation, Prediction, and Search
Their papers
- Bayesian Networks (2014) — 349 citations
- Learning Bayesian Networks with the bnlearn R Package (2009) — 1,997 citations
- Using Genetic Distance to Infer the Accuracy of Genomic Prediction (2015) — 124 citations