Martin Skold

Statistics and Probability · 2007

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Skold trusts overall

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

  1. Håvard Rue
  2. Gareth O. Roberts
  3. Hemant Ishwaran
  4. Omiros Papaspiliopoulos

Who trusts Martin Skold overall

  1. Peter J. Green
  2. Jim E. Griffin
  3. Maurizio Filippone
  4. Maria Kalli
  5. Yaming Yu
  6. Eleni Ioanna Delatola

Papers from Martin Skold's perspective

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

  1. Exact and computationally efficient likelihood‐based estimation for discretely observed diffusion processes (with discussion)
  2. On inference for partially observed nonlinear diffusion models using the Metropolis–Hastings algorithm
  3. Semiparametric Bayesian Inference for Stochastic Frontier Models
  4. Stability of the Gibbs sampler for Bayesian hierarchical models
  5. Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
  6. Bayesian inference for non‐Gaussian Ornstein–Uhlenbeck stochastic volatility processes
  7. Fast sampling of Gaussian Markov random fields
  8. Modelling Heterogeneity With and Without the Dirichlet Process
  9. Applied Regression Including Computing and Graphics
  10. Pattern Recognition and Machine Learning

Their papers