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Discrepancy function
Known as:
Discrepepancy function
Â
A discrepancy function is a mathematical function which describes how closely a structural model conforms to observed data. Larger values of the…Â
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Wikipedia
Topic mentions per year
Topic mentions per year
1992-2016
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1992
2016
Related topics
Related topics
4 relations
Generalized least squares
Low-discrepancy sequence
Ordinary least squares
Structural equation modeling
Related mentions per year
Related mentions per year
1956-2018
1960
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2000
2020
Discrepancy function
Structural equation modeling
Ordinary least squares
Low-discrepancy sequence
Generalized least squares
Papers overview
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2016
2016
Optimal quasi-Monte Carlo rules on order 2 digital nets for the numerical integration of multivariate periodic functions
Aicke Hinrichs
,
Lev Markhasin
,
Jens Oettershagen
,
Tino Ullrich
Numerische Mathematik
2016
We investigate quasi-Monte Carlo rules for the numerical integration of multivariate periodic functions from Besov spaces Sp,q B…Â
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2011
2011
On lower bounds for the L2-discrepancy
Aicke Hinrichs
,
Lev Markhasin
J. Complexity
2011
The L2-discrepancy measures the irregularity of the distribution of a finite point set. In this note, we prove lower bounds for…Â
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2010
2010
Construction of Covariance Matrices with a Specified Discrepancy Function Minimizer, with Application to Factor Analysis
So Yeon Chun
,
Alexander Shapiro
SIAM J. Matrix Analysis Applications
2010
The main goal of this paper is to develop a numerical procedure for construction of covariance matrices such that for a given…Â
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2009
2009
Exponential Squared Integrability of the Discrepancy Function in Two Dimensions
Dmitriy Bilyk
,
Michael T. Lacey
,
Ioannis Parissis
,
Ashot Vagharshakyan
2009
Let AN be an N-point set in the unit square and consider the Discrepancy function DN(~x) ≔ ♯ ( AN ∩ [~0, ~x) ) −N|[~0, ~x…Â
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2009
2009
A fully decentralized control of a serpentine robot based on the discrepancy between body, brain and environment
Wataru Watanabe
,
Takahide Sato
,
Akio Ishiguro
2009 IEEE/RSJ International Conference on…
2009
Despite its appealing concept, a systematic way of designing autonomous decentralized control system is still lacking. In order…Â
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2008
2008
On the Discrepancy Function in Arbitrary Dimension, Close to L
Michael T. Lacey
2008
Our subject is irregularities of distribution of points with respect to rectangles in the unit cube. It is a familiar theme of…Â
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2007
2007
Mean Square Discrepancy Bounds for the Number of Lattice Points in Large Convex Bodies
Alexander Iosevi
,
Eri Sawyer
,
Andreas Seeger
2007
(1.1) ∆Ω(t) = NΩ(t)− tvol(Ω) tdvol(Ω) the relative error, or the discrepancy function. It is conjectured that in dimensions d ≥ 5…Â
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2006
2006
Range of the Fractional Weak Discrepancy Function
Alan Shuchat
,
Randy Shull
,
Ann N. Trenk
Order
2006
In this paper we describe the range of values that can be taken by the fractional weak discrepancy of a poset and characterize…Â
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2006
2006
The hunting of the bump: on maximizing statistical discrepancy
Deepak Agarwal
,
Jeff M. Phillips
,
Suresh Venkatasubramanian
SODA
2006
Anomaly detection has important applications in biosurveilance and environmental monitoring. When comparing measured data to data…Â
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2001
2001
Solving the generalized apportionment problem through the optimization of discrepancy functions
JoaquÃn Bautista
,
Ramón Companys
,
Albert Corominas
European Journal of Operational Research
2001
One of the ways to solve the classical apportionment problem (which has been studied chiefly in relation to the apportionment of…Â
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