Michael J. Lopez

Statistics and Probability · with Baumer · 2017

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

Subfields

Whom Michael J. Lopez trusts overall

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

  1. Andrew Gelman
  2. David J. Spiegelhalter
  3. Brad R. Humphreys
  4. N. G. Best
  5. Walter R. Gilks
  6. B. Boulier
  7. Martin Spann
  8. Tobias J. Moskowitz

Papers from Michael J. Lopez's perspective

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

  1. Bayesian measures of model complexity and fit
  2. Following a moving target—Monte Carlo inference for dynamic Bayesian models
  3. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
  4. RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS
  5. R: A language and environment for statistical computing.
  6. Pitfalls to Measuring Competitive Balance With Gini Coefficients
  7. Alternative Measures of Competitive Balance in Sports Leagues
  8. P redicting the outcomes of National Football League games
  9. Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
  10. Measuring Competitive Balance in Professional Team Sports Using the Herfindahl-Hirschman Index

Their papers