Gael M. Martin
Statistics and Probability · 2000–2022
A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 62 citations into it
- Artificial Intelligence — 51 citations into it
- Economics and Econometrics — 45 citations into it; #6,823 of 23,481 by trust here, #12,444 by citations
- Finance — 29 citations into it; #5,090 of 10,518 by trust here, #5,938 by citations
- Management Science and Operations Research — 19 citations into it
- Probabilistic & Bayesian Methods — 16 citations into it
- Global and Planetary Change — 7 citations into it
- Mathematical Physics — 6 citations into it
Whom Gael M. Martin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bjørn Eraker
- MARK A. Beaumont
- Gary Koop
- Tilmann Gneiting
- Arnaud Doucet
- Jim E. Griffin
- Sara Martino
- Siddhartha Chib
- Gareth O. Roberts
- Stephen G. Walker
Who trusts Gael M. Martin overall
- Roberto Ricciuti
- J. De Gooijer
- Rob J Hyndman
- A. Z. Baharumshah
- Mattias Villani
- Siddhartha Chib
- António Afonso
Papers from Gael M. Martin's perspective
Ordered by how strongly the researchers Gael M. Martin trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- The pseudo-marginal approach for efficient Monte Carlo computations
- BAYESIAN THEORY
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Estimation of population growth or decline in genetically monitored populations.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Estimating the Dimension of a Model
- ImageNet classification with deep convolutional neural networks
Their papers
- Bayesian predictions of low count time series (2005) — 111 citations
- Asymptotic properties of approximate Bayesian computation (2016) — 112 citations
- Efficient probabilistic forecasts for counts (2011) — 61 citations
- US deficit sustainability: a new approach based on multiple endogenous breaks (2000) — 169 citations
- Bayesian forecasting in economics and finance: A modern review (2022) — 47 citations