Jan Hasenauer

Statistics and Probability · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Hasenauer trusts overall

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

  1. Nial Friel
  2. Radford M. Neal
  3. Stephen G. Nash
  4. Donald Goldfarb
  5. Mark A. Girolami
  6. Ben Calderhead
  7. John Skilling
  8. Andreas Wächter
  9. Andrew Gelman

Papers from Jan Hasenauer's perspective

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

  1. Annealed importance sampling
  2. Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
  3. Computing Bayes factors using thermodynamic integration. (Systematic Biology)
  4. Marginal likelihood estimation via power posteriors
  5. Nested sampling for general Bayesian computation
  6. Riemann manifold Langevin and Hamiltonian Monte Carlo methods
  7. Estimating the evidence – a review
  8. Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by databased modeling (Proceedings of the National Academy of Sciences of the United States of America)
  9. Conditioning of Quasi-Newton Methods for Function Minimization
  10. Identifying and attacking the saddle point problem in high-dimensional non-convex optimization

Their papers