Daniel Lundén

Probabilistic & Bayesian Methods · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Lundén trusts overall

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

  1. Avi Pfeffer
  2. Lawrence M. Murray
  3. Pierre Del Moral
  4. Arnaud Doucet
  5. Brooks Paige
  6. Steffen L. Lauritzen
  7. Christophe Andrieu
  8. Vikash K. Mansinghka
  9. Neil J. Gordon
  10. Frank D. Wood

Papers from Daniel Lundén's perspective

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

  1. Monte Carlo Statistical Methods
  2. Particle Markov chain Monte Carlo methods
  3. Venture: a higher-order probabilistic programming platform with programmable inference
  4. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  5. A Compilation Target for Probabilistic Programming Languages
  6. Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
  7. Sequential Monte Carlo samplers
  8. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  9. Local computations with probabilities on graphical structures and their application to expert systems
  10. Bayesian State-Space Modelling on High-Performance Hardware Using LibBi

Their papers