Riko Kelter

Measurement: Interdisciplinary Research and Perspectives · 2020

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

Whom Riko Kelter trusts overall

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

  1. Andrew Gelman
  2. R. Mcelreath

Papers from Riko Kelter's perspective

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

  1. Sampling-Based Approaches to Calculating Marginal Densities
  2. False-Positive Psychology (Psychology Science)
  3. The statistical crisis in science
  4. Handbook of Markov Chain Monte Carlo
  5. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  6. Information Theory and an Extension of the Maximum Likelihood Principle
  7. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  8. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
  9. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  10. Inference from Iterative Simulation Using Multiple Sequences

Their papers