Jane Liu

Sequential Monte Carlo Methods in Practice · 2001–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Whom Jane Liu trusts overall

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

  1. Michael K. Pitt
  2. Omar Alejandro Aguilar
  3. Geof H. Givens
  4. Neil J. Gordon
  5. N. Shephard
  6. Matthew West
  7. Adrian E. Raftery
  8. Jun S. Liu
  9. Adrian F. M. Smith

Who trusts Jane Liu overall

  1. Edward L. Ionides
  2. P. de Valpine
  3. Arnaud Doucet
  4. Simon J. Godsill
  5. Paul Fearnhead
  6. Aaron M. King
  7. Fabien Campillo
  8. Olivier Capp'e
  9. Daihai He
  10. Le Yang

Papers from Jane Liu's perspective

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

  1. Bayesian Dynamic Factor Models and Portfolio Allocation
  2. Bayesian Forecasting and Dynamic Models (2nd edn)
  3. Filtering via Simulation: Auxiliary Particle Filters
  4. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  5. Local Adaptive Importance Sampling for Multivariate Densities with Strong Nonlinear Relationships
  6. Sequential Monte Carlo methods for dynamic systems
  7. Climate Change 2013: The Physical Science Basis
  8. Lightning and climate: A review
  9. Improved Attribution of Climate Forcing to Emissions (Science)
  10. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

Their papers