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 | 34 unreviewed articles as of 27 June 2025
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| Created | Article | Extract | Class | Creator (# edits) | Notes |
|---|---|---|---|---|---|
| 2025-01-30 | Hadamard variation formula | In matrix theory, the Hadamard variation formula is a set of differential equations for how the eigenvalues of a time-varying Hermitian matrix with distinct eigenvalues change with time. | Stub | Cosmia Nebula (10410) | |
| 2024-12-04 | Weierstrass Nullstellensatz (Theorem in mathematics) | In mathematics, the Weierstrass Nullstellensatz is a version of the intermediate value theorem over a real closed field. It says: | Stub | TakuyaMurata (92600) | |
| 2025-04-04 | Minimal fibration | In mathematics, especially homotopy theory, a minimal fibration is used to approximate fibrations between presheaves. A minimal fibration has a defining proprety that an equivalence between them (in some sense) is an isomorphism. Thus, minimal fibrations can be used to study some coherence questions up to equivalences. | Stub | TakuyaMurata (92600) | |
| 2025-04-25 | Co- and contravariant model structure (Induced model structure on slice categories) | In higher category theory in mathematics, co- and contravariant model structures are special model structures on slice categories of the category of simplicial sets. On them, postcomposition and pullbacks (due to its application in algebraic geometry also known as base change) induce adjoint functors, which with the model structures can even become Quillen adjunctions. | B | Samuel Adrian Antz (2963) | |
| 2025-02-07 | Neyman–Scott process | The Neyman–Scott process is a stochastic model used to describe the formation of clustered point patterns. Originally developed for modeling galaxy distributions by J. Neyman and Elizabeth L. Scott in 1952, it provides a framework for understanding phenomena characterized by clustering. | Stub | 7804j (2903) | |
| 2025-04-18 | Gwet's AC1 | Gwet's AC1 coefficient is a statistical measure used to assess inter-rater reliability (IRR) for categorical data. Developed by Dr. Kilem Li Gwet, it quantifies the degree of agreement between two or more raters beyond the level expected by chance. AC1 was specifically designed to address the limitations of traditional IRR measures like Cohen's kappa and Fleiss' kappa, particularly their sensitivity to trait prevalence and marginal distributions. | B | Sobesurfski (424) | |
| 2025-02-06 | Coalescence (statistics) | In statistics, coalescence refers to the merging of independent probability density functions. It contrasts with the simpler, erroneous approach called conflation. | Stub | Witger (1187) | |
| 2025-04-22 | Subdivision (simplicial set) (Endofunctor on the category of simplicial sets) | In higher category theory in mathematics, the subdivision of simplicial sets (subdivision functor or Sd functor) is an endofunctor on the category of simplicial sets. It refines the structure of simplicial sets in a purely combinatorical way without changing constructions like the geometric realization. | C | Samuel Adrian Antz (2963) | |
| 2025-05-21 | Tom Petrie (journalist) (British journalist) | Tom Petrie (10 December 1938 – 10 March 2023) was a British journalist who served as news editor of The Sun from 1980 to 1992. | Start | RJ Harberts (43) | |
| 2025-04-13 | Meta-Labeling (Machine learning overlay technique for position sizing and trade filtering) | Meta-labeling, also known as corrective AI, is a machine learning (ML) technique utilized in quantitative finance to enhance the performance of investment and trading strategies, developed in 2017 by Marcos López de Prado at Guggenheim Partners and Cornell University. | C | Dsr02014 (33) | |
| 2025-05-28 | Anscombe-Aumann subjective expected utility model | In decision theory, the Anscombe-Aumann subjective expected utility model (also known as Anscombe-Aumann framework, Anscombe-Aumann approach, or Anscombe-Aumann representation theorem) is a framework to formalizing subjective expected utility (SEU) developed by Frank Anscombe and Robert Aumann. | Start | JoaoFrancisco1812 (203) | |
| 2025-05-20 | Savage's subjective expected utility model | In decision theory, Savage's subjective expected utility model (also known as Savage's framework, Savage's axioms, or Savage's representation theorem) is a formalization of subjective expected utility (SEU) developed by Leonard J. Savage in his 1954 book The Foundations of Statistics, based on previous work by Ramsey, von Neumann and de Finetti. | C | JoaoFrancisco1812 (203) | |
| 2024-12-27 | Myerson value (Solution concept in cooperative game theory) | The Myerson value is a solution concept in cooperative game theory. It is a generalization of the Shapley value to communication games on networks. The solution concept and the class of cooperative communication games it applies to was introduced by Roger Myerson in 1977. | C | JoaoFrancisco1812 (203) | |
| 2024-12-20 | Extreme set | In mathematics, most commonly in convex geometry, an extreme set or face of a set in a vector space is a subset with the property that if for any two points some in-between point lies in , then we must have had . | Start | Rigmat (60) | |
| 2024-12-28 | Principal form of a polynomial | In mathematics and, more specifically, in theory of equations, the principal form of an irreducible polynomial of degree at least three is a polynomial of the same degree n without terms of degrees n−1 and n−2, such that each root of either polynomial is a rational function of a root of the other polynomial. | C | Reformbenediktiner (977) | |
| 2025-04-05 | Simons cone | In geometry and geometric measure theory, the Simons cone refers to a specific minimal hypersurface in that plays a crucial role in resolving Bernstein's problem in higher dimensions. It is named after American mathematician Jim Simons. | Start | GregariousMadness (5194) | |
| 2025-02-23 | Hartman–Watson distribution (Probability distribution related to Brownian motion) | The Hartman-Watson distribution is an absolutely continuous probability distribution which arises in the study of Brownian functionals. It is named after Philip Hartman and Geoffrey S. Watson, who encountered the distribution while studying the relationship between Brownian motion on the n-sphere and the von Mises distribution. | Start | Tensorproduct (1979) | |
| 2025-05-02 | Uniform distribution on a Stiefel manifold (Matrix-variate probability distribution) | The uniform distribution on a Stiefel manifold is a matrix-variate distribution that plays an important role in multivariate statistics. There one often encounters integrals over the orthogonal group or over the Stiefel manifold with respect to an invariant measure. | Start | Tensorproduct (1979) | |
| 2025-06-10 | High-dimensional Ising model | The Ising model is a prototypical model in statistical physics. The model consists of discrete variables that represent magnetic dipole moments of atomic "spins" that can be in one of two states (+1 or −1). The spins are arranged in a graph, usually a lattice (where the local structure repeats periodically in all directions), allowing each spin to interact with its neighbors. | C | Stepwise Continuous Dysfunction (613) | |
| 2025-06-14 | Italian Statistical Society (Italian learned society) | The Italian Statistical Society (Italian: Società italiana di statistica; SIS) is a scientific society established on 15 January 1939 as a non-profit juridical person by 42 founding members who approved the first statute with the fundamental aim of promoting the development of statistical sciences and their applications in economic, social, health, demographic, technological, productive, and many other fields of research. | Start | Digressivo (1103) | |
| 2025-05-20 | Tangled nature model | The tangled nature model is a model of evolutionary ecology developed by Christensen, Di Collobiano, Hall and Jensen. It is an agent-based model where individual 'organisms' interact, reproduce, mutate and die across many generations. A notable feature of the model is punctuated equilibrium, abrupt and spontaneous transitions between long lived stable states. | C | WikiNukalito (212) | |
| 2024-12-08 | Two-proportion Z-test | The Two-proportion Z-test (or, Two-sample proportion Z-test) is a statistical method used to determine whether the difference between the proportions of two groups, coming from a binomial distribution is statistically significant. This approach relies on the assumption that the sample proportions follow a normal distribution under the Central Limit Theorem, allowing the construction of a z-test for hypothesis testing and confidence interval estimation. | C | Talgalili (3227) | |
| 2025-05-23 | Ho–Kashyap rule (Iterative method for finding a linear decision boundary) | The Ho–Kashyap algorithm is an iterative method in machine learning for finding a linear decision boundary that separates two linearly separable classes. It was developed by Yu-Chi Ho and Rangasami L. Kashyap in 1965, and usually presented as a problem in linear programming. | C | Cosmia Nebula (10410) | |
| 2025-06-06 | Brownian motion and Riemann zeta function | In mathematics, the Brownian motion and the Riemann zeta function are two central objects of study originating from different fields - probability theory and analytic number theory - that have deep mathematical connections between them. The relationships between stochastic processes derived from the Brownian motion and the Riemann zeta function show in a sense inuitively the stochastic behaviour underlying the Riemann zeta function. | Start | Tensorproduct (1979) | |
| 2025-02-22 | Deshouillers–Dress–Tenenbaum theorem | The Deshouillers–Dress–Tenenbaum theorem (or in short DDT theorem) is a result from probabilistic number theory, which describes the probability distribution of a divisor of a natural number within the interval , where the divisor is chosen uniformly. | Start | Tensorproduct (1979) | |
| 2025-05-29 | Gamma-order Generalized Normal distribution | Gamma-Ordered Generalized Normal Distribution | Start | Christos Kitsos (25) | |
| 2025-01-30 | Data product (data product is a reusable, active, and standardized data asset designed to deliver measurable value to its users) | In data management and product management, a data product is a reusable, active, and standardized data asset designed to deliver measurable value to its users, whether internal or external, by applying the rigorous principles of product thinking and management. | Start | Jgperrin (101) | |
| 2025-06-17 | Slope chart (Type of chart) | A slope chart, also known as a slope graph, is a simple data visualization used to show changes between two numerical values for multiple categories. It connects paired data points across two vertical axes using straight lines, helping to highlight relative increases and decreases. | Start | Shafihafizmalik (13) | |
| 2025-06-17 | Southport 24 Hour Race 2024 (Sailing competition in West Lancashire Yacht Club) | The 53rd West Lancashire Yacht Club 24-Hour Dinghy Race (More commonly known as the Southport 24 Hour Race 2024) was a dinghy race that took place between 21 and 22 September 2024. The event was sailed on Southport marine lake in Merseyside, England. | C | Fin.Seaman (244) | |
| 2025-06-20 | 1992 Gothenburg tram derailment (1992 transport incident in Gothenburg, Sweden) | "type": "FeatureCollection", "features": [ | FA | Christoffre (803) | |
| 2025-05-01 | Measure theory in topological vector spaces (Subject in mathematics) | In mathematics, measure theory in topological vector spaces refers to the extension of measure theory to topological vector spaces. Such spaces are often infinite-dimensional, but many results of classical measure theory are formulated for finite-dimensional spaces and cannot be directly transferred. | C | Tensorproduct (1979) | |
| 2025-06-21 | Upper Confidence Bound (Family of machine learning algorithms for bandit problems) | Upper Confidence Bound (UCB) is a family of algorithms in machine learning and statistics for solving the multi-armed bandit problem and addressing the exploration–exploitation trade-off. UCB methods select actions by computing an upper confidence estimate of each action’s potential reward, thus balancing exploration of uncertain options with exploitation of those known to perform well. | C | Tomlovesfar (427) | |
| 2025-06-22 | Mike Titterington (Scottish statistician) | Mike Titterington (1945–2023) was a Scottish statistician known for the breadth of his work. Perhaps best known for his work on mixture models and neural networks, he also published in optimal design, smoothing techniques, image analysis, spatial statistics and hidden Markov models. | Start | Millerdl (168) | |
| 2025-06-21 | Golden field | In mathematics, , sometimes called the golden field, is the real quadratic field obtained by extending the rational numbers with the square root of 5. The elements of this field are all of the numbers , where and are both rational numbers. | C | Stepwise Continuous Dysfunction (613) | Possible attack |
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![{\displaystyle [1,n]}](https://wikimedia.org/api/rest_v1/media/math/render/svg/7c79af450e22e8fd23f28e6be4cb23a47b24c1ba)
Last updated by SDZeroBot operator / talk at 01:41, 27 June 2025 (UTC)
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