J. Westfall
Statistics and Probability · Journal of Personality and Social Psychology · 2012–2017
A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 39 citations into it
- Sociology and Political Science — 34 citations into it; #4,457 of 22,756 by trust here, #5,938 by citations
- Social Psychology — 24 citations into it; #3,152 of 15,694 by trust here, #4,654 by citations
- Experimental and Cognitive Psychology — 23 citations into it; #1,965 of 9,731 by trust here, #2,721 by citations
- Artificial Intelligence — 21 citations into it
- Clinical Psychology — 15 citations into it
- Applied Psychology — 14 citations into it
- Management Science and Operations Research — 14 citations into it; #4,561 of 11,946 by trust here, #6,024 by citations
Whom J. Westfall trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- C. Judd
- R. McCrae
- Robert Tibshirani
- R. Harald Baayen
- Michael W. Browne
- Scott Vrieze
- John P. A. Ioannidis
- M. Ashton
- Kibeom Lee
- Paul T. Costa
Who trusts J. Westfall overall
- Rik Pieters
- Henrik Singmann
- Daniël Lakens
- R. Mõttus
- Stephen M. Smith
- Sarah Banchefsky
- Marc Brysbaert
- Tal Yarkoni
- Levi Kumle
- Gaël Varoquaux
Papers from J. Westfall's perspective
Ordered by how strongly the researchers J. Westfall trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet: A large-scale hierarchical image database
- Random Forests
- The Elements of Statistical Learning
- Visualizing and Understanding Convolutional Networks
- Deep Learning
- Treating stimuli as a random factor in social psychology: a new and comprehensive solution to a pervasive but largely ignored problem. (Journal of Personality and Social Psychology)
- The language-as-fixed-effect fallacy: A critique of language statistics in psychological research.
- Power failure: why small sample size undermines the reliability of neuroscience (Nature Reviews Neuroscience)
- Greedy function approximation: A gradient boosting machine.
Their papers
- Treating stimuli as a random factor in social psychology: a new and comprehensive solution to a pervasive but largely ignored problem. (2012) — 1,148 citations
- Statistically Controlling for Confounding Constructs Is Harder than You Think (2016) — 440 citations
- Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli. (2014) — 731 citations
- Choosing prediction over explanation in psychology: Lessons from machine learning (2017) — 1,587 citations
- But You Don’t Look Like A Scientist!: Women Scientists with Feminine Appearance are Deemed Less Likely to be Scientists (2016) — 129 citations