Marco Scavino

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Scavino trusts overall

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

  1. James O. Berger
  2. Lawrence F. Shampine

Papers from Marco Scavino's perspective

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

  1. Estimating the Dimension of a Model
  2. Information Theory and an Extension of the Maximum Likelihood Principle
  3. The case for objective Bayesian analysis
  4. Fatigue of structures and materials
  5. Understanding predictive information criteria for Bayesian models (Statistics and computing)
  6. Computing Bayes Factors by Combining Simulation and Asymptotic Approximations
  7. The Bayesian information criterion: background, derivation, and applications
  8. In all likelihood: Statistical modelling and inference using likelihood (Mathematical Gazette)
  9. Fatigue of Structures and Materials in the 20th Century and the State of the Art.
  10. Vectorized adaptive quadrature in MATLAB

Their papers