Jay Magidson

Statistics and Probability · 2001–2021

A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Jay Magidson trusts overall

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

  1. Jeroen K. Vermunt
  2. L. A. Goodman
  3. Geoffrey J. McLachlan
  4. Stan Lipovetsky
  5. P. Deb
  6. Stephanie T. Lanza
  7. J. Landis
  8. Daniel McFadden
  9. Kimmo Vehkalahti
  10. Theodore C. Lystig

Who trusts Jay Magidson overall

  1. Jeroen K. Vermunt
  2. Alexandre J. S. Morin
  3. M. Porcu
  4. Jonas Edlund
  5. John P. Meyer
  6. Gitta H. Lubke
  7. Annamari Heikkilä
  8. Guangping Huang
  9. Laura Punaro
  10. Zsuzsa Bakk

Papers from Jay Magidson's perspective

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

  1. The EM algorithm and extensions
  2. Finite Mixture Models
  3. Latent Class Factor and Cluster Models, Bi-Plots, and Related Graphical Displays
  4. Mixture models : inference and applications to clustering
  5. Categorical Data Analysis
  6. Generalized Linear Models
  7. Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators (Political Analysis)
  8. poLCA: An R Package for Polytomous Variable Latent Class Analysis
  9. Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
  10. MIXED MNL MODELS FOR DISCRETE RESPONSE

Their papers