Gauss and the invention of least squares

From MaRDI portal
Publication:1161001

DOI10.1214/aos/1176345451zbMath0477.62001OpenAlexW2070374624WikidataQ55933361 ScholiaQ55933361MaRDI QIDQ1161001

Stephen M. Stigler

Publication date: 1981

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176345451



Related Items

Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation, Journeys in big data statistics, H-relative error estimation for multiplicative regression model with random effect, Recovering Structured Signals in Noise: Least-Squares Meets Compressed Sensing, On Gauss' priority in the discovery of the method of least squares, Gram-Schmidt orthogonalization: 100 years and more, The geometry of least squares in the 21st century, Real estate price estimation in French cities using geocoding and machine learning, Understanding autoencoders with information theoretic concepts, A unified framework for bivariate clustering and regression problems via mixed-integer linear programming, Hyperbolic regression: a new regression model with applications to the binary classification problem, Robust multi-view learning via adaptive regression, Geometry and applied statistics, Least product relative error estimation, Note on Legendre's method of least squares, A characterization of the compound multiparameter Hermite gamma distribution via Gauss's principle, \(\sqrt{n}\)-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing, Analytical and numerical computation of error propagation of model parameters, On sequential data assimilation for scalar macroscopic traffic flow models, Commemoration of the bicentennial of the publication (1805--1806) of the least squares method by Adrien Marie Legendre, Wrinkled and wrinkle-free membranes, A data-driven smoothed particle hydrodynamics method for fluids, Rank/inertia approaches to weighted least-squares solutions of linear matrix equations, Leveraged least trimmed absolute deviations, Matrix rank and inertia formulas in the analysis of general linear models, The method of Gauss in 1799, Robert Adrain and the method of least squares, On mean scaled insurance risk models, 200 years of least squares method, LR-drawings of ordered rooted binary trees and near-linear area drawings of outerplanar graphs, Multiple linear regressions by maximizing the likelihood under assumption of generalized Gauss-Laplace distribution of the error, From the determination of planetary orbits to modern statistics: Carl Friedrich Gauß\ -- work and impact, High-Dimensional Least-Squares with Perfect Positive Correlation, On analytical, computational and historical developments of statistics and its applications, The power of linear programming: some surprising and unexpected LPs, Minimizing the expected value of the asymmetric loss function and an inequality for the variance of the loss