Results 1  10
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2,296
Linear models and empirical bayes methods for assessing differential expression in microarray experiments.
 Stat. Appl. Genet. Mol. Biol.
, 2004
"... Abstract The problem of identifying differentially expressed genes in designed microarray experiments is considered. Lonnstedt and Speed (2002) derived an expression for the posterior odds of differential expression in a replicated twocolor experiment using a simple hierarchical parametric model. ..."
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Cited by 1321 (24 self)
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from spot filtering or spot quality weights. The posterior odds statistic is reformulated in terms of a moderated tstatistic in which posterior residual standard deviations are used in place of ordinary standard deviations. The empirical Bayes approach is equivalent to shrinkage of the estimated
DOI: 10.1007/S1133601091557 A KRAEMERTYPE RESCALING THAT TRANSFORMS THE ODDS RATIO INTO THE WEIGHTED KAPPA COEFFICIENT
, 2010
"... This paper presents a simple rescaling of the odds ratio that transforms the association measure into the weighted kappa statistic for a 2 × 2 table. Key words: Cohen’s kappa, 2 × 2 association measure. ..."
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This paper presents a simple rescaling of the odds ratio that transforms the association measure into the weighted kappa statistic for a 2 × 2 table. Key words: Cohen’s kappa, 2 × 2 association measure.
InterCoder Agreement for Computational Linguistics
 COMPUTATIONAL LINGUISTICS
, 2008
"... This article is a survey of methods for measuring agreement among corpus annotators. It exposes the mathematics and underlying assumptions of agreement coefficients, covering Krippendorff’s alpha as well as Scott’s pi and Cohen’s kappa; discusses the use of coefficients in several annotation tasks; ..."
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Cited by 243 (7 self)
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; and argues that weighted, alphalike coefficients, traditionally less used than kappalike measures in Computational Linguistics, may be more appropriate for many corpus annotation tasks – but that their use makes the interpretation of the value of the coefficient even harder.
Analysis of variations in ocean color,
 Limnol. Oceanogr.,
, 1977
"... Abstract: The dependence of the reflectance at the surface on the vertical structure of optical parameters is derived from first principles. It is shown that the depth dependence is a function of the derivative of the round trip attenuation of the downwelling and backscattered light. Previously the ..."
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Cited by 180 (7 self)
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. It is shown that the important parameter to average is the ratio of the backscattering and absorption coefficients. The surface reflectance is related to the weighted average of this parameter, not the ratio of the weighted average of the backscattering and the weighted average of the absorption. Only
THE MAHLER MEASURE OF POLYNOMIALS WITH ODD COEFFICIENTS
, 2004
"... The minimum value of the Mahler measure of a nonreciprocal polynomial whose coefficients are all odd integers is proved here to be the golden ratio. The smallest measures of reciprocal polynomials with ±1 coefficients and degree at most 72 are also determined. ..."
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Cited by 11 (2 self)
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The minimum value of the Mahler measure of a nonreciprocal polynomial whose coefficients are all odd integers is proved here to be the golden ratio. The smallest measures of reciprocal polynomials with ±1 coefficients and degree at most 72 are also determined.
Semiclassical asymptotics of orthogonal polynomials, RiemannHilbert problem, and universality in the matrix model
, 1999
"... We derive semiclassical asymptotics for the orthogonal polynomials Pn(z) on the line with respect to the exponential weight exp(−NV (z)), where V (z) is a doublewell quartic polynomial, in the limit when n,N → ∞. We assume that ε ≤ (n/N) ≤ λcr − ε for some ε> 0, where λcr is the critical value ..."
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Cited by 166 (11 self)
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We derive semiclassical asymptotics for the orthogonal polynomials Pn(z) on the line with respect to the exponential weight exp(−NV (z)), where V (z) is a doublewell quartic polynomial, in the limit when n,N → ∞. We assume that ε ≤ (n/N) ≤ λcr − ε for some ε> 0, where λcr is the critical value
Impact of Interferences on Connectivity in Ad Hoc Networks
 in Proc. IEEE INFOCOM
, 2003
"... We study the impact of interferences on the connectivity of largescale adhoc networks, using percolation theory. We assume that a bidirectional connection can be set up between two nodes if the signal to noise ratio at the receiver is larger than some threshold. The noise is the sum of the contri ..."
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Cited by 156 (13 self)
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of the contribution of interferences from all other nodes, weighted by a coefficient gamma, and of a background noise. We find that there is a critical value of gamma above which the network is made of disconnected clusters of nodes. We also prove that if gamma is non zero but small enough, there exist node spatial
Principles and practical application of the receiveroperating characteristic analysis for diagnostic tests. Preventive Veterinary Medicine
, 2000
"... Abstract We review the principles and practical application of receiveroperating characteristic (ROC) analysis for diagnostic tests. ROC analysis can be used for diagnostic tests with outcomes measured on ordinal, interval or ratio scales. The dependence of the diagnostic sensitivity and specifici ..."
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Cited by 122 (0 self)
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off selection. Candidates for such optimisation parameters are linear combinations of sensitivity and specificity (with weights selected to reflect the decisionmaking situation), odds ratio, chancecorrected measures of association (e.g. kappa) and likelihood ratios. We discuss some recent developments in ROC
Object Detection Using the Statistics of Parts
, 2004
"... In this paper we describe a trainable object detector and its instantiations for detecting faces and cars at any size, location, and pose. To cope with variation in object orientation, the detector uses multiple classifiers, each spanning a different range of orientation. Each of these classifiers ..."
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Cited by 142 (2 self)
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coefficients to a discrete set of values. Such parts are designed to capture various combinations of locality in space, frequency, and orientation. In building each classifier, we gathered the classconditional statistics of these part values from representative samples of object and nonobject images. We
ODD COEFFICIENTS OF WEAKLY HOLOMORPHIC MODULAR FORMS
"... Suppose that N is a positive integer, that w is an integer, and that (1.1) f(z) = ∑ a(n)q n, q: = e 2πiz is a weakly holomorphic modular form of integral or halfintegral weight w 2 ..."
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Cited by 1 (1 self)
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Suppose that N is a positive integer, that w is an integer, and that (1.1) f(z) = ∑ a(n)q n, q: = e 2πiz is a weakly holomorphic modular form of integral or halfintegral weight w 2
Results 1  10
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2,296