Elaine B. Martin
Statistics and Probability · 2002–2007
A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 10 citations into it; #10,476 of 12,932 by trust here, #10,275 by citations
- Artificial Intelligence — 7 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
Whom Elaine B. Martin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- David John Cameron MacKay
- Matthew Stephens
- Adrian F. M. Smith
- Hirotogu Akaike
- Phillip Boyle
- F. Dan Foresee
- Arthur P. Dempster
Who trusts Elaine B. Martin overall
Papers from Elaine B. Martin's perspective
Ordered by how strongly the researchers Elaine B. Martin trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Hybrid Monte Carlo
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Bayesian learning for neural networks
- A Bayesian Committee Machine (Neural Computation)
- Bayesian Interpolation
- Hierarchical Dirichlet Processes
- Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
- Filtering via Simulation: Auxiliary Particle Filters
- Bayesian Analysis
Their papers
- Probability density estimation via an infinite Gaussian mixture model: application to statistical process monitoring (2006) — 97 citations
- Gaussian process regression for multivariate spectroscopic calibration (2007) — 166 citations
- Particle filters for state and parameter estimation in batch processes (2005) — 180 citations
- On‐line monitoring of batch processes using a PARAFAC representation (2003) — 60 citations
- An approximation to the F distribution using the chi-square distribution (2002) — 92 citations