Algorithm 808
By Tapio Schneider, Arnold Neumaier. ACM Transactions on Mathematical Software, 2001
376 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9bf9b9736af2bca8e7088163a4a6c14824853c7b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Pedro A. Valdes-Sosa
- Ricardo Gutiérrez
- Ernesto Pereda
- Ricardo Bajo
- Guiomar Niso
- Fernando Maestú
- Mette Termansen
- Piers M. Forster
In Control and Systems Engineering
In Statistics and Probability
- Pedro A. Valdes-Sosa
- Mette Termansen
- Iason Hatzakis
- Evan D. G. Fraser
- G. Roe
- David R. Wallace
- E. Simelton
Citations in the corpus
- A decadal prediction case study: Late twentieth-century North Atlantic Ocean heat content (2012, methodology): “Details of the least squares fitting algorithm for the AR(1) parameters are documented in Schneider and Neumaier (2001).”
- Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach (2006, methodology): “The FDA1 problem from the dynamic multi-objective test suite proposed by Farina et al [14] is selected.”
- Feedbacks, Timescales, and Seeing Red (2009, methodology): “A statistical model corresponding to Equation 28 [i.e., an AR(1) process] can be fit to the PDO index using standard statistical fitting methods (e.g., Schneider & Neumaier 2001), and the best-fit value of τ can thus be obtained.”
- Typologies of crop-drought vulnerability: an empirical analysis of the socio-economic factors that influence the sensitivity and resilience to drought of three major food crops in China (1961–2001) (2009, methodology): “To calculate the harvest anomaly, we detrended the yearly harvest data between 1961 and 2001 using an auto-regression function (Schneider and Neumaier, 2001) with 3-year lags in Matlab (version 2007a) software.”
- HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity (2013, methodology): “The coefficients of the MAR model of the desired order are estimated by means of a simplified version of the ARfit toolbox (Neumaier and Schneider 2001; Schneider and Neumaier 2001).”
- Concurrent EEG/fMRI analysis by multiway Partial Least Squares (2004, methodology): “Using the ARFIT toolbox for Matlab (Schneider and Neumaier, 2001), we fitted an autoregressive model of order 2 (selected automatically by Schwarz's criterion) to the time course of time-varying EEG spectrum.”