Paolo Giudici

Statistics and Probability · 2003–2020

A researcher in the Science corpus: 8 papers; trusts 24 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Paolo Giudici trusts overall

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

  1. Peter J. Green
  2. Matthew Stephens
  3. David Madigan
  4. Gareth O. Roberts
  5. David E. Heckerman
  6. Simon J. Godsill
  7. Dan Geiger
  8. Jeremy York
  9. Scott M. Lundberg
  10. Andrew Gelman

Who trusts Paolo Giudici overall

  1. Gülser Köksal
  2. Jack Kuipers
  3. Daniel Eaton
  4. Robert Castelo
  5. Steve P. Brooks
  6. Rónán Daly
  7. Lars Lorch
  8. David B. Dunson
  9. Peter Müller
  10. Riccardo Bellazzi

Papers from Paolo Giudici's perspective

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

  1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
  2. Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
  3. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  4. Hybrid Monte Carlo
  5. Bayesian Graphical Models for Discrete Data
  6. Bayesian Density Estimation and Inference Using Mixtures
  7. Inference from Iterative Simulation Using Multiple Sequences
  8. Optimal scaling of discrete approximations to Langevin diffusions
  9. Weak convergence and optimal scaling of random walk Metropolis algorithms
  10. On the Relationship Between Markov chain Monte Carlo Methods for Model Uncertainty

Their papers