Dan Cornford

Atmospheric Science · 2007

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Cornford trusts overall

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

  1. A. Lorenc
  2. Matthew J. Beal
  3. J. Whitaker
  4. Geir Evensen
  5. Amit Apte
  6. Lehel Csató
  7. Radford M. Neal

Who trusts Dan Cornford overall

  1. Karl J. Friston
  2. David Rohde
  3. Simo Särkkä
  4. Hilbert J. Kappen

Papers from Dan Cornford's perspective

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

  1. Ensemble Data Assimilation without Perturbed Observations
  2. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  3. Atmospheric Modeling, Data Assimilation and Predictability
  4. An ensemble Kalman smoother for nonlinear dynamics
  5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  6. Variational algorithms for approximate Bayesian inference
  7. Pattern Recognition and Machine Learning
  8. Sampling the posterior: An approach to non-Gaussian data assimilation
  9. Exact and computationally efficient likelihood‐based estimation for discretely observed diffusion processes (with discussion)
  10. On Information and Sufficiency

Their papers