A. Ganesan
Artificial Intelligence · 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. Ganesan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Ganesan overall
Papers from A. Ganesan's perspective
Ordered by how strongly the researchers A. Ganesan trusts endorse each paper. Same corpus, a different order for every researcher.
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Inverse problem theory - and methods for model parameter estimation
- Information Theory, Inference, and Learning Algorithms
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Monte Carlo Sampling Methods
- Expanded uncertainty quantification in inverse problems: Hierarchical Bayes and empirical Bayes
- Trans-dimensional Markov chain Monte Carlo
- Trans-dimensional inverse problems, model comparison and the evidence
- 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