Francis Tuerlinckx
Statistics and Probability · 2000–2016
A researcher in the Science corpus: 15 papers; trusts 32 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 57 citations into it; #1,210 of 12,932 by trust here, #410 by citations
- Experimental and Cognitive Psychology — 40 citations into it; #4,115 of 9,731 by trust here, #368 by citations
- Management Science and Operations Research — 25 citations into it; #6,713 of 11,946 by trust here, #3,705 by citations
- Cognitive Neuroscience — 19 citations into it; #6,430 of 10,852 by trust here, #4,352 by citations
- Economics and Econometrics — 15 citations into it; #15,096 of 23,481 by trust here, #10,609 by citations
- Artificial Intelligence — 13 citations into it; #25,497 of 35,345 by trust here, #23,731 by citations
- Computer Networks and Communications — 13 citations into it; #9,400 of 9,886 by trust here, #5,961 by citations
- Social Psychology — 13 citations into it
Whom Francis Tuerlinckx trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Robert Tibshirani
- Hirotogu Akaike
- Carl N. Morris
- Roger Ratcliff
- David Ruppert
- John K. Kruschke
- James Russell
- Andrew Gelman
- Roger B. Nelsen
Who trusts Francis Tuerlinckx overall
- Roger Ratcliff
- Patrick C. Kyllonen
- Andrew Gelman
- Eric-Jan Wagenmakers
- Michael D. Lee
- Richard P. Heitz
- Jiyun Zu
- W. Van den Noortgate
- A. Voss
- Joachim Vandekerckhove
Papers from Francis Tuerlinckx's perspective
Ordered by how strongly the researchers Francis Tuerlinckx trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- A new look at the statistical model identification
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- Statistical Analysis With Missing Data
- Inference from Iterative Simulation Using Multiple Sequences
- The Adaptive Lasso and Its Oracle Properties
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Information Theory and an Extension of the Maximum Likelihood Principle
- Bayes factors
- Linear Mixed Models for Longitudinal Data (Technometrics)
Their papers
- Type S error rates for classical and Bayesian single and multiple comparison procedures (2000) — 330 citations
- Estimating the reproducibility of psychological science (2015) — 7,174 citations
- Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability (2002) — 841 citations
- Increasing Transparency Through a Multiverse Analysis (2016) — 1,096 citations
- A Hierarchical IRT Model for Criterion-Referenced Measurement (2000) — 141 citations
- The estimation of item response models with the lmer function from the lme4 package in R (2011) — 329 citations
- What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. (2016) — 637 citations
- Detection of Differential Item Functioning Using the Lasso Approach (2015) — 75 citations
- Modeling Affect Dynamics: State of the Art and Future Challenges (2015) — 177 citations
- Critical slowing down as early warning for the onset and termination of depression (2013) — 682 citations
- Maximum likelihood estimation in processes of Ornstein-Uhlenbeck type (2009) — 76 citations
- A Hierarchical Ornstein–Uhlenbeck Model for Continuous Repeated Measurement Data (2009) — 81 citations
- Copula Functions for Residual Dependency (2007) — 64 citations
- Two interpretations of the discrimination parameter (2005) — 95 citations
- The Mathematics and Statistics of Voting Power (2002) — 109 citations