A. Manning
Artificial Intelligence · with Ganesan · 2013–2018
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Statistics and Probability — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom A. Manning trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from A. Manning's perspective
Ordered by how strongly the researchers A. Manning trusts endorse each paper. Same corpus, a different order for every researcher.
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Information Theory, Inference, and Learning Algorithms
- Inverse problem theory - and methods for model parameter estimation
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Expanded uncertainty quantification in inverse problems: Hierarchical Bayes and empirical Bayes
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Monte Carlo Sampling Methods
- Trans-dimensional inverse problems, model comparison and the evidence
- Trans-dimensional Markov chain Monte Carlo
- Inverse problems in atmospheric constituent transport
Their papers
- History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE) (2018) — 295 citations
- Estimation of trace gas fluxes with objectively determined basis functions using reversible jump Markov Chain Monte Carlo (2016) — 60 citations
- Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods (2013) — 161 citations