Clifford Anderson-Bergman
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Statistics and Probability — 17 citations into it
- Probabilistic & Bayesian Methods — 9 citations into it
Whom Clifford Anderson-Bergman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Clifford Anderson-Bergman's perspective
Ordered by how strongly the researchers Clifford Anderson-Bergman trusts endorse each paper. Same corpus, a different order for every researcher.
- Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Hierarchical Modeling and Analysis for Spatial Data
- Bayesian computing with INLA: New features (Computational Statistics & Data Analysis)
- Fractals and Statistics: An R Package Called IFS
- An adaptive Metropolis algorithm
- Understanding predictive information criteria for Bayesian models (Statistics and computing)
- AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models (Optim. Methods Softw.)
- Markov chain Monte Carlo without likelihoods
Their papers
- Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE (2015) — 1,061 citations