Aaron M. King

Artificial Intelligence · 2004–2015

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron M. King trusts overall

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

  1. Christophe Andrieu
  2. Olivier Capp'e
  3. Simon N. Wood
  4. Jane Liu
  5. Arnaud Doucet
  6. Edward L. Ionides
  7. Eric A. Wan
  8. J. Bronstein
  9. Randal Douc
  10. Scott Anthony Sisson

Who trusts Aaron M. King overall

  1. Liam J. Revell
  2. Luke J. Harmon
  3. Edward L. Ionides
  4. Lam Si Tung Ho
  5. T. Ingram
  6. Dean C. Adams
  7. Josef C. Uyeda
  8. Cécile Ané
  9. J. Clavel
  10. Theodore Garland Jr.

Papers from Aaron M. King's perspective

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

  1. Monte Carlo Strategies in Scientific Computing
  2. Sequential Monte Carlo without likelihoods
  3. A Tutorial on Particle Filtering and Smoothing: Fifteen years later
  4. Combined Parameter and State Estimation in Simulation-Based Filtering (Sequential Monte Carlo Methods in Practice)
  5. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
  6. The pseudo-marginal approach for efficient Monte Carlo computations
  7. Particle filters for state-space models with the presence of unknown static parameters (IEEE Transactions on Signal Processing)
  8. Sequential Monte Carlo methods for dynamic systems
  9. Comparison of resampling schemes for particle filtering
  10. Filtering via Simulation: Auxiliary Particle Filters

Their papers