No results for "Category:Bayesian estimation" (auto) in titles.

Suggestions for article titles:

1. Estimation: This learning resource is about methods for estimation As main challenge is the limitation of testing capabilities. Estimation (or estimating) is the process of finding an estimate, or approximation, which is a value that is usable for some purpose even ... [100%] 2023-09-08 [Mathematical Modelling] [Statistics]...
2. Estimation: Estimation (or estimating) is the process of finding an estimate or approximation, which is a value that is usable for some purpose even if input data may be incomplete, uncertain, or unstable. The value is nonetheless usable because it is ... (Process of finding an approximation) [100%] 2024-08-22 [Estimation theory]
3. Estimator: In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished. For example, the ... (Rule for calculating an estimate of a given quantity based on observed data) [77%] 2024-11-04 [Estimator]
4. Statistical estimation: One of the fundamental parts of mathematical statistics, dedicated to the estimation using random observations of various characteristics of their distribution. Let $ X _ {1} \dots X _ {n} $ be independent random variables (or observations) with a common unknown distribution ... (Mathematics) [70%] 2024-01-12
5. Estimation lemma: In mathematics the estimation lemma, also known as the ML inequality, gives an upper bound for a contour integral. If f is a complex-valued, continuous function on the contour Γ and if its absolute value |f (z)| is bounded by ... [70%] 2023-09-06 [Theorems in complex analysis]
6. Estimation theory: Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects ... (Branch of statistics to estimate models based on measured data) [70%] 2023-09-08 [Estimation theory] [Signal processing]...
7. Concurrent estimation: In discrete event simulation concurrent estimation is a technique used to estimate the effect of alternate parameter settings on a discrete event system. For example from observation of a (computer simulated) telecommunications system with a specified buffer size \displaystyle{ B_0 ... [70%] 2024-01-10 [Control theory] [Events (computing)]...
8. Estimate; Estimation: ESTIMATE; ESTIMATION es'-ti-mat, es-ti-ma'-shun (`arakh, `erekh): These words, meaning "to set in order," "valuation," are used in connection with the priestly services in Leviticus 5:15,18; 6:6; 27:14, and frequently; Numbers 18 ... [70%] 1915-01-01
9. Parameter estimation: In probability, once a model class has been selected it is then necessary to estimate the values of its associated parameters in order to specify that particular model out of all members of the model class which differ only on ... [70%] 2023-06-30 [Probability and Statistics]
10. Motion estimation: Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions ... (Physics) [70%] 2023-09-06 [Motion (physics)]
11. Concurrent estimation: In discrete event simulation concurrent estimation is a technique used to estimate the effect of alternate parameter settings on a discrete event system. For example from observation of a (computer simulated) telecommunications system with a specified buffer size B 0 ... [70%] 2024-01-10 [Control theory] [Events (computing)]...
12. Confidence estimation: A method in mathematical statistics for the construction of a set of approximate values of the unknown parameters of probability distributions. Let $ X $ be a random vector assuming values in a set $ {\mathcal X} $ in a Euclidean space and let ... (Mathematics) [70%] 2023-10-13
13. Recursive estimation: A methodology for estimating parameters from data that arrive sequentially (and thus constitute a stochastic process, cf. also Sequential analysis). (Mathematics) [70%] 2023-09-25
14. Point estimation: In statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate since it identifies a point in some parameter space) which is to serve as a "best guess" or "best estimate ... (Parameter estimation via sample statistics) [70%] 2023-09-08 [Estimation theory]
15. Confidence estimation: A method in mathematical statistics for the construction of a set of approximate values of the unknown parameters of probability distributions. Let $ X $ be a random vector assuming values in a set $ {\mathcal X} $ in a Euclidean space and let ... (Mathematics) [70%] 2024-03-09
16. Structural estimation: Structural estimation is a technique for estimating deep "structural" parameters of theoretical economic models. The term is inherited from the simultaneous equations model. [70%] 2024-03-03 [Estimation methods] [Economic methodology]...
17. Sequential estimation: In statistics, sequential estimation refers to estimation methods in sequential analysis where the sample size is not fixed in advance. Instead, data is evaluated as it is collected, and further sampling is stopped in accordance with a predefined stopping rule ... [70%] 2024-05-08 [Sequential methods]
18. Multidimensional spectral estimation: Multidimension spectral estimation is a generalization of spectral estimation, normally formulated for one-dimensional signals, to multidimensional signals or multivariate data, such as wave vectors. Multidimensional spectral estimation has gained popularity because of its application in fields like medicine, aerospace ... [57%] 2024-01-10 [Digital signal processing] [Multidimensional signal processing]...
19. Mineral resource estimation: Mineral resource estimation is used to determine and define the ore tonnage and grade of a geological deposit, from the developed block model. There are different estimation methods used for different scenarios dependent upon the ore boundaries, geological deposit geometry ... (Earth) [57%] 2024-01-11 [Economic geology] [Geology software]...
20. Prais–Winsten estimation: In econometrics, Prais–Winsten estimation is a procedure meant to take care of the serial correlation of type AR(1) in a linear model. Conceived by Sigbert Prais and Christopher Winsten in 1954, it is a modification of Cochrane–Orcutt ... [57%] 2022-06-13 [Estimation methods] [Regression with time series structure]...