F. Monard

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom F. Monard trusts overall

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

  1. I. Castillo
  2. Richard Nickl
  3. Kolyan Ray
  4. Andrew M. Stuart
  5. Lassi Roininen
  6. W. A.
  7. Simon L. Cotter
  8. Judith Rousseau
  9. Evarist Gin'e
  10. Gunther Uhlmann

Papers from F. Monard's perspective

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

  1. BAYESIAN INVERSE PROBLEMS WITH GAUSSIAN PRIORS
  2. Inverse problems: A Bayesian perspective (Acta Numerica)
  3. Real Analysis and Probability: Measurability: Borel Isomorphism and Analytic Sets
  4. On the Bernstein–von Mises phenomenon for nonparametric Bayes procedures
  5. Nonparametric Bernstein–von Mises theorems in Gaussian white noise
  6. Bayesian inverse problems with non-conjugate priors
  7. MCMC Methods for Functions: ModifyingOld Algorithms to Make Them Faster
  8. Posterior Contraction Rates for the Bayesian Approach to Linear Ill-Posed Inverse Problems
  9. Rates of contraction of posterior distributions based on Gaussian process priors
  10. Adaptive Bernstein–von Mises theorems in Gaussian white noise

Their papers