Nathan William Churchill

Statistics and Probability · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 6 citations into it

Whom Nathan William Churchill trusts

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

1. Trevor J. Hastie (in Statistics and Probability)
2. Hui Zou (in Statistics and Probability)

Papers from Nathan William Churchill's perspective

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

1. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex (Science)
2. The Nature of Statistical Learning Theory
3. Controlling the false discovery rate: a practical and powerful approach to multiple testing
4. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
5. Addendum: Regularization and variable selection via the elastic net
6. Statistical parametric maps in functional imaging: A general linear approach
7. Neuroimaging: Decoding mental states from brain activity in humans (Nature Reviews Neuroscience)
8. Gene Selection for Cancer Classification using Support Vector Machines
9. Machine learning classifiers and fMRI: a tutorial overview
10. Ridge Regression: Biased Estimation for Nonorthogonal Problems

Their papers

• BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods (2016) — 311 citations
• Model sparsity and brain pattern interpretation of classification models in neuroimaging (2012) — 144 citations