Least-Squares Analysis

Known as: Analyses, Least-Squares, Least Square, Analysis, Least-Squares 
A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared… (More)

Topic mentions per year

Topic mentions per year

1936-2017
010002000300019362016

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Under certain conditions (known as the restricted isometry property, or RIP) on the m N matrix ˆ (where m < N ), vectors x 2 RN… (More)
  • table 2.1
  • figure 8.1
  • figure 8.2
  • figure 8.3
  • figure 8.4
Is this relevant?
Highly Cited
2007
Highly Cited
2007
MOTIVATION Many practical pattern recognition problems require non-negativity constraints. For example, pixels in digital images… (More)
  • table 1
  • table 2
  • figure 1
  • figure 2
  • table 3
Is this relevant?
Highly Cited
2003
Highly Cited
2003
Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied… (More)
  • figure 1
Is this relevant?
Highly Cited
2002
Highly Cited
2002
The purpose of model selection algorithms such as All Subsets, Forward Selection, and Backward Elimination is to choose a linear… (More)
Is this relevant?
Highly Cited
2000
Highly Cited
2000
This article presents a simple yet powerful new approach for approximating the value of America11 options by simulation. The kcy… (More)
  • table 1
  • table 2
  • table 3
  • figure 1
  • table 5
Is this relevant?
Highly Cited
1997
Highly Cited
1997
We consider least-squares problems where the coefficient matrices A, b are unknown but bounded. We minimize the worst-case… (More)
Is this relevant?
Highly Cited
1996
Highly Cited
1996
This paper introduces a new tool for functional neuroimage analysis: partial least squares (PLS). It is unique as a multivariate… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 2
Is this relevant?
Highly Cited
1994
Highly Cited
1994
The Marquardt algorithm for nonlinear least squares is presented and is incorporated into the backpropagation algorithm for… (More)
Is this relevant?
Highly Cited
1989
Highly Cited
1989
The publisher does not give any warranty express or implied or make any representation that the contents will be complete or… (More)
  • figure 1
  • figure 2
  • table I
  • figure 3
  • table 2
Is this relevant?
Highly Cited
1972
Highly Cited
1972
The linearity of the detection system including the attenuator will directly affect the accuracy of 0 and should be considered… (More)
  • table 111
  • table V
  • table VI
Is this relevant?