Michael Hagmann

Statistics and Probability · 2016

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 Michael Hagmann trusts overall

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

  1. Bradley Efron
  2. Daniel J. Bauer
  3. B. Muthén
  4. P. Curran
  5. Vlasios Voudouris

Papers from Michael Hagmann's perspective

Ordered by how strongly the researchers Michael Hagmann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (Psychological methods)
  2. Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class–latent growth modeling.
  3. Overextraction of latent trajectory classes: Much ado about nothing? Reply to Rindskopf (2003), Muthén (2003), and Cudeck and Henly (2003)
  4. A Linear Non-Gaussian Acyclic Model for Causal Discovery
  5. On Asymmetric Properties of the Correlation Coeffcient in the Regression Setting
  6. Direction dependence in a regression line
  7. Better Bootstrap Confidence Intervals
  8. Bootstrap Methods and Their Application
  9. Modelling skewness and kurtosis with the BCPE density in GAMLSS
  10. A Note on Directional Dependence in Regression Setting

Their papers