Joachim Vandekerckhove
Statistics and Probability · 2009–2019
A researcher in the Science corpus: 5 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 48 citations into it
- Artificial Intelligence — 31 citations into it
- Experimental and Cognitive Psychology — 23 citations into it
- Cognitive Neuroscience — 16 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- General Decision Sciences — 9 citations into it
- Developmental and Educational Psychology — 7 citations into it
- Computer Networks and Communications — 6 citations into it
Whom Joachim Vandekerckhove trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jorma Rissanen
- Eric-Jan Wagenmakers
- Stan Lipovetsky
- Joseph Hilbe
- James O. Berger
- D. Navarro
- Samuel J. Gershman
- Mark A. Pitt
- Hirotugu Akaike
- Andrew Gelman
Who trusts Joachim Vandekerckhove overall
Papers from Joachim Vandekerckhove's perspective
Ordered by how strongly the researchers Joachim Vandekerckhove trusts endorse each paper. Same corpus, a different order for every researcher.
- Information Theory and an Extension of the Maximum Likelihood Principle
- Estimating the Dimension of a Model
- Information Theory, Inference, and Learning Algorithms
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Bayes factors
- BAYESIAN THEORY
- Monte Carlo Statistical Methods
- Fisher information and stochastic complexity
- Bayesian data analysis.
- Data Analysis Using Regression and Multilevel/Hierarchical Models
Their papers
- Robust Modeling in Cognitive Science (2019) — 92 citations
- Bayesian inference for psychology (2016) — 233 citations
- Model Comparison and the Principle of Parsimony (2015) — 338 citations
- A cognitive latent variable model for the simultaneous analysis of behavioral and personality data. (2014) — 68 citations
- A Hierarchical Ornstein–Uhlenbeck Model for Continuous Repeated Measurement Data (2009) — 81 citations