• In statistics, Bayesian multivariate linear regression is a Bayesian approach to multivariate linear regression, i.e. linear regression where the predicted...
    15 KB (2,723 words) - 07:06, 12 February 2023
  • general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In...
    11 KB (1,192 words) - 07:42, 24 May 2024
  • Bayesian linear regression is a type of conditional modeling in which the mean of one variable is described by a linear combination of other variables...
    18 KB (3,171 words) - 03:16, 9 August 2024
  • involving multivariate data, for example simple linear regression and multiple regression, are not usually considered to be special cases of multivariate statistics...
    17 KB (1,859 words) - 17:39, 19 February 2024
  • explanatory variables is a multiple linear regression. This term is distinct from multivariate linear regression, which predicts multiple correlated dependent...
    74 KB (10,364 words) - 05:02, 27 October 2024
  • including Bayesian regression and least squares fitting to variance stabilized responses, have been developed. Ordinary linear regression predicts the...
    31 KB (4,224 words) - 21:43, 29 October 2024
  • In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric...
    22 KB (3,136 words) - 19:29, 14 October 2023
  • Ridge regression is a method of estimating the coefficients of multiple-regression models in scenarios where the independent variables are highly correlated...
    30 KB (3,941 words) - 18:19, 21 September 2024
  • Thumbnail for Regression analysis
    non-linear models (e.g., nonparametric regression). Regression analysis is primarily used for two conceptually distinct purposes. First, regression analysis...
    37 KB (5,116 words) - 06:21, 17 October 2024
  • linear model for non-normal distributions Bayesian linear regression, where statistical analysis is from a Bayesian viewpoint Bayesian multivariate linear...
    1 KB (163 words) - 06:57, 22 August 2015
  • Thumbnail for Multivariate normal distribution
    distributed if every linear combination of its k components has a univariate normal distribution. Its importance derives mainly from the multivariate central limit...
    65 KB (9,519 words) - 19:47, 3 October 2024
  • Thumbnail for Simple linear regression
    In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample...
    32 KB (5,326 words) - 06:13, 17 October 2024
  • Thumbnail for Local regression
    Local regression or local polynomial regression, also known as moving regression, is a generalization of the moving average and polynomial regression. Its...
    18 KB (2,525 words) - 11:34, 27 September 2024
  • Thumbnail for Logistic regression
    an event as a linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) estimates the...
    127 KB (20,643 words) - 21:34, 15 October 2024
  • Thumbnail for Quantile regression
    Quantile regression is an extension of linear regression used when the conditions of linear regression are not met. One advantage of quantile regression relative...
    29 KB (4,108 words) - 09:29, 3 September 2024
  • sampling Bayesian information criterion Bayesian linear regression Bayesian model comparison – see Bayes factor Bayesian multivariate linear regression Bayesian...
    87 KB (8,285 words) - 04:29, 7 October 2024
  • of redirect targets Bayesian multivariate linear regression – Bayesian approach to multivariate linear regression Bayesian Nash equilibrium – Game theory...
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  • In robust statistics, robust regression seeks to overcome some limitations of traditional regression analysis. A regression analysis models the relationship...
    21 KB (2,642 words) - 07:42, 24 May 2024
  • seen as generalizations of linear models (in particular, linear regression), although they can also extend to non-linear models. These models became...
    33 KB (4,920 words) - 05:18, 27 October 2024
  • t_{k}}=(X_{t_{1}},\ldots ,X_{t_{k}})} is a multivariate Gaussian random variable. That is the same as saying every linear combination of ( X t 1 , … , X t k )...
    41 KB (5,672 words) - 10:30, 9 October 2024
  • {\displaystyle m(x)} is some deterministic function. Linear regression is a restricted case of nonparametric regression where m ( x ) {\displaystyle m(x)} is assumed...
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  • Segmented linear regression is segmented regression whereby the relations in the intervals are obtained by linear regression. Segmented linear regression with...
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  • Thumbnail for Linear discriminant analysis
    categorical dependent variable (i.e. the class label). Logistic regression and probit regression are more similar to LDA than ANOVA is, as they also explain...
    46 KB (5,986 words) - 10:54, 8 November 2024
  • In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable...
    16 KB (2,426 words) - 10:28, 25 August 2024
  • Thumbnail for Regression toward the mean
    In statistics, regression toward the mean (also called regression to the mean, reversion to the mean, and reversion to mediocrity) is the phenomenon where...
    40 KB (5,638 words) - 16:13, 22 October 2024
  • vector of ones. This section gives an example of simple linear regression—that is, regression with only a single explanatory variable—with seven observations...
    9 KB (1,591 words) - 09:29, 29 November 2023
  • Thumbnail for Ordinary least squares
    especially in the case of a simple linear regression, in which there is a single regressor on the right side of the regression equation. The OLS estimator is...
    64 KB (9,005 words) - 22:00, 20 October 2024
  • model, as well specific models for Bayesian linear regression (see below) and Bayesian multivariate linear regression. More advanced approaches include...
    16 KB (2,483 words) - 10:48, 5 October 2024
  • Thumbnail for Time series
    Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting. Oxford University Press. ISBN 978-0-19-803834-4.[page needed] Regression Analysis...
    41 KB (4,860 words) - 22:29, 23 October 2024
  • outputting a single value, as in linear regression. Binary regression is usually analyzed as a special case of binomial regression, with a single outcome ( n...
    4 KB (581 words) - 20:28, 27 March 2022