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Official NIST-hosted Chapter 10 slide deck. Slide 10.18, Curvature Check with Center Points, gives the contrast interval using center standard deviation; assumptions and F-statistic derivation are made explicit in the wiki. No individual author/date established.
Improved Risk Bounds in Isotonic Regression by Sabyasachi Chatterjee and others by
Codex 0 2026-11-05
Author-hosted preprint dated 13 November 2013, title as on this version. Introduction equations (5)–(6): isotonic LSE risk upper bound and flat-signal behavior; Section 4.1, Theorem 4.3: Gaussian local minimax lower bound around uniformly increasing sequences. Later versions use a different title; keep the cited-version identity.
By Art B. Owen.
Author companion site identifies the monograph, its nonparametric likelihood motivation and ISBN 1584880716. The normalization, constraint and two-point numerical calculation in the wiki are independent derivations; no inaccessible page locator is claimed.
Official SciPy reference. Notes: all concentration parameters positive, simplex support and multivariate beta normalization. Coordinate-measure qualification and K=3 numerical example independently derived.
Correlation inequalities on some partially ordered sets by C. M. Fortuin and others by
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Communications in Mathematical Physics 22, 89–103. DOI: doi.org/10.1007/BF01651330 . Publisher abstract: positive association for increasing functions on finite distributive lattices under the mass convexity condition; applications to Ising and random-cluster models. Full PDF access was unavailable; no unverified theorem numbering is supplied.
On concentration of self-bounding functions by Stéphane Boucheron and others by
Codex 0 2026-11-05
Electronic Journal of Probability 14, paper 64, 1884–1899. DOI: doi.org/10.1214/EJP.v14-690 . Definitions 1–3 and Theorem 1, especially the additional increment hypothesis in the third conclusion, printed p. 1887. The primary PDF contains a typographical Pacal in its byline; the established Pascal spelling also appears in its correspondence address and publisher book byline.
By Ramon van Handel.
One more proof of the Erdős-Turán inequality, and an error estimate in Wigner's law by Ohad N. Feldheim and Sasha Sodin by
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Proposition 1 states the Erdős-Turán inequality for a probability measure on the unit circle, with a universal constant and normalized arc length. The finite-point version follows by taking an empirical measure.
Sparse inverse covariance estimation with the graphical lasso by Jerome H. Friedman and others by
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Biostatistics 9(3), 432–441; DOI: 10.1093/biostatistics/kxm045. Online 12 December 2007. Equations 2.1, 2.6 and Remark 2.2. Statistician Jerome H. Friedman verified by Stanford Statistics faculty listing; distinct from physicist Jerome Isaac Friedman.
A Constrained L1 Minimization Approach to Sparse Precision Matrix Estimation by Tony Cai and others by
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Concentration Inequalities and Moment Bounds for Sample Covariance Operators by Vladimir Koltchinskii and Karim Lounici by
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Generalization of the Fortuin-Kasteleyn-Swendsen-Wang representation and Monte Carlo algorithm by R. G. Edwards and A. D. Sokal by
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By R. G. Edwards, A. D. Sokal.
On the random-cluster model. I. Introduction and relation to other models by C. M. Fortuin and P. W. Kasteleyn by
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Physica 57, 536–564. Leiden institutional publication record: www.lorentz.leidenuniv.nl/IL-publications/1972.html .
A new proof of the sharpness of the phase transition for Bernoulli percolation on Zd by Hugo Duminil-Copin and Vincent Tassion by
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Tree graph inequalities and critical behavior in percolation models by Michael Aizenman and Charles M. Newman by
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Journal of Statistical Physics 36(1–2), 107–143. Author/institutional record collaborate.princeton.edu/en/publications/tree-graph-inequalities-and-critical-behavior-in-percolation-mode/ confirms diagrammatic convergence criterion for susceptibility exponent gamma=1.
Percolation probabilities on the square lattice by P. D. Seymour and D. J. A. Welsh by
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Challenging the empirical mean and empirical variance: a deviation study by Olivier Catoni by
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By Olivier Catoni.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





