Adrian G. Wills

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Adrian G. Wills trusts overall

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

  1. John E. Dennis Jr.
  2. Arthur P. Dempster
  3. Geoffrey J. McLachlan
  4. Arnaud Doucet
  5. Bobby Schnabel
  6. Stuart Gibson
  7. Nan M. Laird
  8. Christophe Andrieu
  9. B. De Moor
  10. Simon J. Godsill

Who trusts Adrian G. Wills overall

  1. Fredrik Lindsten
  2. Thomas Bo Schön
  3. Andreas Svensson
  4. Johan Schoukens
  5. Niklas Wahlstrom
  6. Simo Särkkä
  7. Feng Ding
  8. Nikolas Kantas

Papers from Adrian G. Wills's perspective

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

  1. Sequential Monte Carlo Methods in Practice
  2. Monte Carlo Smoothing for Nonlinear Time Series (Journal of the American Statistical Association)
  3. Sequential Monte Carlo Methods in Practice
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. On sequential Monte Carlo sampling methods for Bayesian filtering
  6. The EM algorithm and extensions
  7. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  8. Numerical methods for unconstrained optimization and nonlinear equations
  9. A New Approach to Linear Filtering and Prediction Problems
  10. A new approach to linear filtering and prediction problems" transaction of the asme~journal of basic

Their papers