Christopher F. H. Nam
Artificial Intelligence · 2012
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Statistics and Probability — 6 citations into it; #8,234 of 12,932 by trust here, #11,487 by citations
Whom Christopher F. H. Nam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Fearnhead
- Steven L. Scott
- Haikady N. Nagaraja
- Geraint E. Rees
- Shunzheng Yu
- Arnaud Doucet
- Pierre Del Moral
- Neil J. Gordon
- Christophe Andrieu
- Eric R. Ziegel
Who trusts Christopher F. H. Nam overall
Papers from Christopher F. H. Nam's perspective
Ordered by how strongly the researchers Christopher F. H. Nam trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequential Monte Carlo samplers
- Improved particle filter for nonlinear problems
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
- Bayesian Methods for Hidden Markov Models
- A Tutorial on Particle Filtering and Smoothing: Fifteen years later
- Particle Markov chain Monte Carlo methods
- Exact and efficient Bayesian inference for multiple changepoint problems (Statistics and computing)
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Inference in Hidden Markov Models
Their papers
- Quantifying the uncertainty in change points (2012) — 51 citations