💡 Words with a Similar Meaning to "Optimal estimation"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| best linear unbiased prediction | In statistics, best linear unbiased prediction is used in linear mixed models for the estimation of random effects. |
| bayesian vector autoregression | In statistics and econometrics, Bayesian vector autoregression uses Bayesian methods to estimate a vector autoregression model. |
| estimating equations | In statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated. |
| ordinary least squares | In statistics, ordinary least squares is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values of the variable being observed) in the input dataset and the output of the (linear) function of the independent variable. |
| basis pursuit denoising | In applied mathematics and statistics, basis pursuit denoising refers to a mathematical optimization problem of the form |
| backfitting algorithm | — |
| maximum likelihood estimation | In statistics, maximum likelihood estimation is a method of estimating the parameters of an assumed probability distribution, given some observed data. |
| bayes classifier | In statistical classification, the Bayes classifier is the classifier having the smallest probability of misclassification of all classifiers using the same set of features. |
| generalized method of moments | In econometrics and statistics, the generalized method of moments is a generic method for estimating parameters in statistical models. |
| inverse-variance weighting | In statistics, inverse-variance weighting is a method of aggregating two or more random variables to minimize the variance of the weighted average. |
| inverse iteration | In numerical analysis, inverse iteration (also known as the inverse power method) is an iterative eigenvalue algorithm. |
| quantile regression | a type of regression analysis used in statistics and econometrics. |
| empirical bayes method | Empirical Bayes methods are procedures for statistical inference in which the prior probability distribution is estimated from the data. |
| multivariate analysis of variance | In statistics, multivariate analysis of variance is a procedure for comparing multivariate sample means. |
| poisson regression | In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. |
| mathematical statisticsnoun | (statistics) The study of statistics from a purely mathematical standpoint, using probability theory, measure theory, linear algebra and analysis. |
| method of mean weighted residuals | In applied mathematics, methods of mean weighted residuals are methods for solving differential equations. |
| statistical learning theory | a framework for machine learning drawing from the fields of statistics and functional analysis. |
| generalized linear model | In statistics, a generalized linear model is a flexible generalization of ordinary linear regression. |
| regularized least squares | a family of methods for solving the least-squares problem while using regularization to further constrain the resulting solution. |
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