K. Newman

Artificial Intelligence · with Buckland · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #31,794 of 35,345 by trust here, #27,551 by citations
• Probabilistic & Bayesian Methods — 6 citations into it
• Statistics and Probability — 6 citations into it; #11,693 of 12,932 by trust here, #8,279 by citations
• Ecology — 5 citations into it

Whom K. Newman trusts overall

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

1. Michael K. Pitt
2. Arnaud Doucet
3. Robert Fildes
4. Verena M. Trenkel
5. Tim Hesterberg
6. Hal Caswell
7. Walter R. Gilks
8. N. Shephard
9. Nando de Freitas
10. S. T. Buckland

Who trusts K. Newman overall

1. Benjamin M. Bolker
2. Jason Matthiopoulos
3. Brian Dennis

Papers from K. Newman's perspective

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

1. Bayesian statistics without tears: A sampling-resampling perspective
2. Sequential Monte Carlo Methods in Practice
3. Sequential Monte Carlo Methods in Practice
4. Forecasting structural time series models and the kalman filter: Andrew Harvey, 1989, (Cambridge University Press), 554 pp., ISBN 0-521-32196-4
5. Monte Carlo Strategies in Scientific Computing
6. Filtering via Simulation: Auxiliary Particle Filters
7. Convergence of Sequential Monte Carlo Methods
8. Markov Chain Monte Carlo in Practice
9. Sequential Monte Carlo methods for dynamic systems
10. Combined Parameter and State Estimation in Simulation-Based Filtering (Sequential Monte Carlo Methods in Practice)

Their papers

• A UNIFIED FRAMEWORK FOR MODELLING WILDLIFE POPULATION DYNAMICS † (2005) — 112 citations
• State-space models for the dynamics of wild animal populations (2004) — 192 citations