Marie-Anne Poursat

Statistics and Probability · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marie-Anne Poursat trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Estelle Kuhn
  2. Florin Vaida

Papers from Marie-Anne Poursat's perspective

Ordered by how strongly the researchers Marie-Anne Poursat trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Mixed-Effects Models in S and S-Plus
  2. Estimating the Dimension of a Model
  3. Nonlinear models for repeated measurement data: An overview and update
  4. Fence methods for mixed model selection
  5. Maximum likelihood estimation in nonlinear mixed effects models (Computational Statistics & Data Analysis)
  6. Conditional Akaike information for mixed-effects models
  7. Generalized, Linear, and Mixed Models (Technometrics)
  8. Information Theory and an Extension of the Maximum Likelihood Principle
  9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  10. Adaptive Algorithms and Stochastic Approximations

Their papers