Emma J. McCoy

Artificial Intelligence · 2010

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

Subfields

• Artificial Intelligence — 7 citations into it; #30,714 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Emma J. McCoy trusts overall

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

1. Arnaud Doucet

Who trusts Emma J. McCoy overall

1. Veronika Czellar
2. Laurent E. Calvet

Papers from Emma J. McCoy's perspective

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

1. Markov chain Monte Carlo without likelihoods
2. Sequential Monte Carlo Methods in Practice
3. Adaptive approximate Bayesian computation
4. A Tutorial on Particle Filtering and Smoothing: Fifteen years later
5. Smoothing algorithms for state–space models
6. Optimal Versus Naive Diversification: How Inefficient is the 1/N Portfolio Strategy?
7. Sequential Monte Carlo without likelihoods
8. On sequential Monte Carlo sampling methods for Bayesian filtering
9. Sequential Monte Carlo samplers
10. Estimating the Dimension of a Model

Their papers

• Filtering via approximate Bayesian computation (2010) — 103 citations