L. DeCarlo
Statistics and Probability · 2010–2012
A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 28 citations into it; #8,458 of 12,932 by trust here, #10,855 by citations
- Artificial Intelligence — 17 citations into it; #9,074 of 35,345 by trust here, #27,551 by citations
- Management Science and Operations Research — 13 citations into it; #2,129 of 11,946 by trust here, #8,469 by citations
Whom L. DeCarlo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jimmy de la Torre
- Eric R. Ziegel
- Jonathan Templin
- Jeroen K. Vermunt
- Andre A. Rupp
- S. Lynch
- John K. Kruschke
- S. Jackman
- In Jae Myung
- Robert Henson
Who trusts L. DeCarlo overall
- Chia-Yi Chiu
- Yanlou Liu
- Laine Bradshaw
- Gongjun Xu
- Wei Tian
- Andrew Izsák
- Birte U. Forstmann
- Ulrike Hahn
- Tao Xin
- Jimmy de la Torre
Papers from L. DeCarlo's perspective
Ordered by how strongly the researchers L. DeCarlo trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Linear Models
- Estimating the Dimension of a Model
- Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory
- Higher-order latent trait models for cognitive diagnosis
- Item Response Theory
- Data analytic methods for latent partially ordered classification models
- AVOIDING BOUNDARY ESTIMATES IN LATENT CLASS ANALYSIS BY BAYESIAN POSTERIOR MODE ESTIMATION
- Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
- Information Theory and an Extension of the Maximum Likelihood Principle
- Inference from Iterative Simulation Using Multiple Sequences
Their papers
- On a signal detection approach to m-alternative forced choice with bias, with maximum likelihood and Bayesian approaches to estimation (2012) — 71 citations
- On the Analysis of Fraction Subtraction Data: The DINA Model, Classification, Latent Class Sizes, and the Q-Matrix (2011) — 217 citations
- On the statistical and theoretical basis of signal detection theory and extensions: Unequal variance, random coefficient, and mixture models (2010) — 66 citations