Nikhil Galagali
Statistics and Probability · 2015
A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 18 citations into it
- Artificial Intelligence — 10 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Molecular Biology — 5 citations into it
Whom Nikhil Galagali trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christophe Andrieu
- Radford M. Neal
- David John Cameron MacKay
- Hirotugu Akaike
- Colin L. Mallows
- John K. Kruschke
- Darren J. Wilkinson
- David Ruppert
- James O. Berger
- Siddhartha Chib
Papers from Nikhil Galagali's perspective
Ordered by how strongly the researchers Nikhil Galagali trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Pattern Recognition and Machine Learning
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- A Stochastic Approximation Method
- Monte Carlo Statistical Methods
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Information Theory, Inference, and Learning Algorithms
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Sampling-Based Approaches to Calculating Marginal Densities
- A new look at the statistical model identification
Their papers
- Bayesian inference of chemical kinetic models from proposed reactions (2015) — 62 citations