Brett Ninness

Artificial Intelligence · 2000–2013

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #11,090 of 35,345 by trust here, #20,836 by citations
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Brett Ninness trusts overall

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

1. John E. Dennis Jr.
2. Arthur P. Dempster
3. Arnaud Doucet
4. Bobby Schnabel
5. Geoffrey J. McLachlan
6. Stuart Gibson
7. Christophe Andrieu
8. Nan M. Laird

Who trusts Brett Ninness overall

1. Thomas Bo Schön
2. Feng Ding
3. Andreas Svensson
4. Fredrik Lindsten
5. Adrian G. Wills
6. Niklas Wahlstrom
7. Jie Ding

Papers from Brett Ninness's perspective

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

1. A tutorial on hidden Markov models and selected applications in speech recognition
2. Monte Carlo Smoothing for Nonlinear Time Series (Journal of the American Statistical Association)
3. Sequential Monte Carlo Methods in Practice
4. On sequential Monte Carlo sampling methods for Bayesian filtering
5. The EM algorithm and extensions
6. Sequential Monte Carlo Methods in Practice
7. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
8. Numerical methods for unconstrained optimization and nonlinear equations
9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
10. A New Approach to Linear Filtering and Prediction Problems

Their papers

• System identification of nonlinear state-space models (2011) — 623 citations
• Identification of Hammerstein-Wiener models (2013) — 306 citations
• Robust maximum-likelihood estimation of multivariable dynamic systems (2005) — 297 citations
• Modelling and Identification with Rational Orthogonal Basis Functions (2000) — 397 citations