A. Mayo‐Iscar
Statistics and Probability · 2008
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 8 citations into it; #10,495 of 12,932 by trust here, #12,077 by citations
Whom A. Mayo‐Iscar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Mayo‐Iscar overall
Papers from A. Mayo‐Iscar's perspective
Ordered by how strongly the researchers A. Mayo‐Iscar trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust mixture modelling using the t distribution (Statistics and computing)
- Finite Mixture Models
- Adaptively truncated maximum likelihood regression with asymmetric errors
- Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods
- Bayesian Modelling and Inference on Mixtures of Distributions
- Weak Convergence and Empirical Processes: With Applications to Statistics
- Monte Carlo Statistical Methods
- A robust method for cluster analysis
- Mixture models : inference and applications to clustering
- A class of robust and fully efficient regression estimators
Their papers
- Robust estimation in the normal mixture model based on robust clustering (2008) — 51 citations