Pekka Marttinen

Artificial Intelligence · with Gutmann · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Statistics and Probability — 15 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it; #1,522 of 1,525 by trust here, #1,274 by citations

Whom Pekka Marttinen trusts

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

1. Simon N. Wood (in Ecology)
2. Michael G. B. Blum (in Artificial Intelligence)
3. Michael U Gutmann (in Probabilistic & Bayesian Methods)
4. Jukka Corander (in Probabilistic & Bayesian Methods)
5. Christian P. Robert (in Artificial Intelligence)
6. Jean-Michel Marin (in Artificial Intelligence)

Who trusts Pekka Marttinen

1. Jakob H. Macke (in Probabilistic & Bayesian Methods)

Papers from Pekka Marttinen's perspective

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

1. Markov chain Monte Carlo without likelihoods
2. Practical Bayesian Optimization of Machine Learning Algorithms
3. Approximate Bayesian computation in population genetics.
4. Non-linear regression models for Approximate Bayesian Computation (Statistics and computing)
5. Adaptive approximate Bayesian computation
6. Monte Carlo Methods of Inference for Implicit Statistical Models
7. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
8. Statistical inference for noisy nonlinear ecological dynamic systems
9. A comparative review of dimension reduction methods in approximate Bayesian computation
10. Approximate Bayesian computational methods (Statistics and computing)

Their papers

• Efficient Acquisition Rules for Model-Based Approximate Bayesian Computation (2017) — 72 citations