Tao Chen

Statistics and Probability · with Martin · 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; #10,459 of 12,932 by trust here, #10,275 by citations
• Artificial Intelligence — 7 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Tao Chen 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
9. Christopher K. I. Williams
10. Hirotugu Akaike

Who trusts Tao Chen overall

1. Bo Wang
2. Andrew Kumiega
3. Tao Chen
4. Thaddeus Neururer
5. Fei Ye

Papers from Tao Chen's perspective

Ordered by how strongly the researchers Tao Chen 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. Bayesian learning for neural networks
4. Hybrid Monte Carlo
5. A Bayesian Committee Machine (Neural Computation)
6. Bayesian Interpolation
7. Hierarchical Dirichlet Processes
8. Filtering via Simulation: Auxiliary Particle Filters
9. Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
10. ImageNet classification with deep convolutional neural networks

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