Adam M. Johansen

Artificial Intelligence · 2008–2014

A researcher in the Science corpus: 6 papers; trusts 73 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #25,313 of 35,345 by trust here, #31,361 by citations
• Statistics and Probability — 39 citations into it; #6,184 of 12,932 by trust here, #8,279 by citations
• Probabilistic & Bayesian Methods — 25 citations into it; #299 of 1,525 by trust here, #531 by citations
• Finance — 7 citations into it
• Management Science and Operations Research — 7 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Adam M. Johansen trusts overall

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

1. Arnaud Doucet
2. Pierre Del Moral
3. Alexandros Beskos
4. Gareth O. Roberts
5. Paul Fearnhead
6. Nicolas Chopin
7. Olivier Capp'e
8. Christophe Andrieu
9. Christian P. Robert
10. Julian Besag

Who trusts Adam M. Johansen overall

1. Fredrik Lindsten
2. Pete Trautman
3. Gareth William Peters
4. C. A. Naesseth
5. Thomas Bo Schön
6. Johan Schoukens
7. Alessandro Panella
8. Wentao Li
9. Simon Lacoste-Julien
10. Tuan Anh Le

Papers from Adam M. Johansen's perspective

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

1. Sequential Monte Carlo samplers
2. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
3. A sequential particle filter method for static models
4. Improved particle filter for nonlinear problems
5. On sequential Monte Carlo sampling methods for Bayesian filtering
6. Filtering via Simulation: Auxiliary Particle Filters
7. Following a moving target—Monte Carlo inference for dynamic Bayesian models
8. Estimating the Dimension of a Model
9. Sequential Monte Carlo Methods in Practice
10. Weak convergence and optimal scaling of random walk Metropolis algorithms

Their papers

• Towards Automatic Model Comparison: An Adaptive Sequential Monte Carlo Approach (2013) — 61 citations
• A simple approach to maximum intractable likelihood estimation (2013) — 53 citations
• Quantifying the uncertainty in change points (2012) — 51 citations
• Contribution to the discussion of \Sequential Quasi-Monte-Carlo Sampling" { Gerber, Chopin (2014)
• On the exact and ε-strong simulation of (jump) diffusions (2013) — 47 citations
• A Tutorial on Particle Filtering and Smoothing: Fifteen years later (2008) — 2,215 citations