 | 13 unreviewed articles as of 13 July 2024
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| Created | Article | Extract | Class | Creator (# edits) | Notes |
|---|---|---|---|---|---|
| 2023-09-05 | Simulation decomposition (A method for visually performing an uncertainty and sensitivity analysis of model output) | SimDec, or Simulation decomposition, is a hybrid uncertainty and sensitivity analysis method, for visually examining the relationships between the output and input variables of a computational model. | C | Saltean (1551) | |
| 2024-04-21 | List of important publications in data science | This is a list of important publications in data science, generally organized by order of use in a data analysis workflow. | C | Erictleung (1512) | |
| 2024-06-20 | Persistent random walk (Modification of the random walk model) | The persistent random walk is a modification of the random walk model. | Stub | Cosmia Nebula (5804) | |
| 2024-06-22 | Erdős–Delange theorem | The Erdős–Delange theorem is a theorem in number theory concerning the distribution of prime numbers. It is named after Paul Erdős and Hubert Delange. | Stub | Tito Omburo (1072) | |
| 2024-06-23 | Agnew's theorem | Agnew's theorem characterizes term rearrangements that preserve convergence of series. It was proposed by American mathematician Ralph Palmer Agnew. | Start | UnladenSwallow (2972) | |
| 2015-12-31 | Monotonicity (mechanism design) (in mechanism design) | In mechanism design, monotonicity is a property of a social choice function. It is a necessary condition for being able to implement such a function using a strategyproof mechanism. Its verbal description is: | C | Erel Segal (13994) | |
| 2023-01-05 | Cauchy wavelet (Cauchy wavelet) | In mathematics, cauchy wavelets are a family of continuous wavelets, used in the continuous wavelet transform. | Start | R942152 (8) | |
| 2022-12-08 | Gamma-minimax inference | In the statistic decision theory, where one is faced with making decisions in the presence of statistical knowledge, Γ-minimax inference is a minimax approach used to deal with partial prior information. It works with applications of Γ-minimax to statistical estimation, and contains Γ-minimax theory, used to pick applicable decision rules to use when given partial prior information about the distribution of an unknown parameter. | Stub | Katnap1 (6) | |
| 2021-04-18 | Convex compactification (Concept of mathematics in convex analysis) | In mathematics, specifically in convex analysis, the convex compactification is a compactification which is simultaneously a convex subset in a locally convex space in functional analysis. The convex compactification can be used for relaxation (as continuous extension) of various problems in variational calculus and optimization theory. | Start | Tomas Roubicek (18) | |
| 2024-07-12 | 3D Morphable Model (Statistical generative model for 3D textured objects) | In computer vision and computer graphics, the 3D Morphable Model (3DMM) is a generative technique that uses methods of statistical shape analysis to model 3D objects. The model follows an analysis-by-synthesis approach over a dataset of 3D example shapes of a single class of objects (e.g., face, hand). | Start | HeyGio (67) | |
| 2024-07-08 | Deep backward stochastic differential equation method (Numerical method for stochastic differential equation) | Deep backward stochastic differential equation method is a numerical method that combines deep learning with Backward stochastic differential equation (BSDE). This method is particularly useful for solving high-dimensional problems in financial derivatives pricing and risk management. | C | Theroadislong (248240) | |
| 2024-07-08 | 3D Face Morphable Model (Generative model for 3D textured faces) | In computer vision and computer graphics, the 3D Face Morphable Model (3DFMM) is a generative technique for modeling textured 3D faces. The generation of new faces is based on a pre-existing database of example faces acquired through a 3D scanning procedure. | B | HeyGio (67) | |
| 2024-06-29 | Game form | In game theory and related fields, a game form, ruleset, or outcome function is the set of rules that govern a game and determine its outcome, given | Start | Closed Limelike Curves (2985) |
Last updated by SDZeroBot operator / talk at 13:56, 13 July 2024 (UTC)