Sabine Hug

Statistics and Probability · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 10 citations into it
• Artificial Intelligence — 7 citations into it

Whom Sabine Hug trusts overall

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

1. Nial Friel
2. Radford M. Neal
3. John Skilling
4. Andrew Gelman
5. Ben Calderhead
6. Nicolas Lartillot
7. Hedibert Freitas Lopes
8. Heikki Haario
9. Jason Wyse
10. Mark A. Girolami

Who trusts Sabine Hug overall

1. Chris J. Oates
2. Mark A. Girolami

Papers from Sabine Hug's perspective

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

1. Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
2. Annealed importance 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. Estimating the evidence – a review
7. Monte Carlo Statistical Methods
8. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
9. An adaptive Metropolis algorithm
10. Sampling-Based Approaches to Calculating Marginal Densities

Their papers

• An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson’s rule (2015) — 20 citations
• Lessons Learned from Quantitative Dynamical Modeling in Systems Biology (2013) — 328 citations