Renate Meyer

Statistics and Probability · 2000–2022

A researcher in the Science corpus: 8 papers; trusts 26 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Renate Meyer trusts overall

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

  1. Jun Yu
  2. David J. Spiegelhalter
  3. Andrew Gelman
  4. Robert F. Engle
  5. N. Shephard
  6. Walter R. Gilks
  7. Hirotogu Akaike
  8. Garland B. Durham
  9. T. Lancaster
  10. Tim Bollerslev

Who trusts Renate Meyer overall

  1. Manabu Asai
  2. Michael Dowd
  3. R. Millar
  4. Michael Mcaleer
  5. Siddhartha Chib
  6. P. de Valpine
  7. Jun Yu
  8. Brian Dennis
  9. James S. Clark
  10. Marti J. Anderson

Papers from Renate Meyer's perspective

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

  1. Information Theory and an Extension of the Maximum Likelihood Principle
  2. Generalized autoregressive conditional heteroskedasticity
  3. Bayesian measures of model complexity and fit
  4. Bayes factors
  5. Stochastic Volatility: Selected Readings
  6. Bayesian Dynamic Factor Models and Portfolio Allocation
  7. POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES
  8. Monte Carlo methods for estimating, smoothing, and filtering one- and two-factor stochastic volatility models
  9. Efficient high-dimensional importance sampling
  10. On Leverage in a Stochastic Volatility Model

Their papers