Julian Morris

Statistics and Probability · 2005–2007

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 8 citations into it; #10,458 of 12,932 by trust here, #10,275 by citations
• Artificial Intelligence — 7 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Julian Morris trusts overall

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

1. Radford M. Neal
2. David John Cameron MacKay
3. Matthew Stephens
4. Adrian F. M. Smith
5. Hirotogu Akaike
6. Phillip Boyle
7. F. Dan Foresee
8. Arthur P. Dempster

Who trusts Julian Morris overall

1. Bo Wang
2. Andrew Kumiega

Papers from Julian Morris's perspective

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

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Estimating the Dimension of a Model
3. Hybrid Monte Carlo
4. Bayesian learning for neural networks
5. A Bayesian Committee Machine (Neural Computation)
6. Bayesian Interpolation
7. Hierarchical Dirichlet Processes
8. Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
9. Filtering via Simulation: Auxiliary Particle Filters
10. 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