Results 31 to 40 of about 1,540,046 (195)
Parameter inference from event ensembles and the top-quark mass
Journal of High Energy Physics, 2021 One of the key tasks of any particle collider is measurement. In practice, this is often done by fitting data to a simulation, which depends on many parameters.
Forrest Flesher +4 more
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A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections
EURASIP Journal on Advances in Signal Processing, 2005 The problem of detecting an anomaly/target from a very limited number of noisy tomographic projections is addressed from the statistical point of view. The imaged object is composed of an environment, considered as a nuisance parameter, with a possibly ...
Fillatre Lionel, Nikiforov Igor
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Bayesian Classification of Multivariate Autoregressive Sources with Unknown Order. [PDF]
The Egyptian Statistical Journal, 1997 The objective of this paper is to present a Bayesian classification technique that can be used to classify a multivariate time series realization into one of several multivariate autoregressive sources.
Samir Shaarawy +2 more
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THE EFFICIENCY OF EMPIRICAL LIKELIHOOD WITH NUISANCE PARAMETERS [PDF]
Journal of Mathematics and Statistics, 2014 In this study we check the asymptotic efficiency of empirical likelihood in the presence of nuisance parameters combined with augmented moment conditions. We show that in the presence of nuisance parameters, the asymptotic efficiency of the empirical likelihood estimator of the parameter of interest will increase by adding more moment conditions, in ...
openaire +2 more sources
Bayesian Discrepancy Measure: Higher-Order and Skewed Approximations
EntropyThe aim of this paper is to discuss both higher-order asymptotic expansions and skewed approximations for the Bayesian discrepancy measure used in testing precise statistical hypotheses.
Elena Bortolato +3 more
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European Physical Journal C: Particles and FieldsThe Gamma Variance Model is a statistical model that incorporates uncertainties in the assignment of systematic errors (informally called errors-on-errors). The model is of particular use in analyses that combine the results of several measurements.
Enzo Canonero, Glen Cowan
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Generalized Inferences about the Mean Vector of Several Multivariate Gaussian Processes
Journal of Probability and Statistics, 2015 We consider in this paper the problem of comparing the means of several multivariate Gaussian processes. It is assumed that the means depend linearly on an unknown vector parameter θ and that nuisance parameters appear in the covariance matrices.
Pilar Ibarrola, Ricardo Vélez
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Parameter of interest and nuisance parameter for the different types of data.
, 2015 Parameter of interest and nuisance parameter for the different types of data.
Elsa Tavernier (769757) +1 more
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On a Comparison of Tests of Homogeneity of Binomial Proportions [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 There are multiple tests of homogeneity of binomial proportions in the statistics literature. However, when working with sparse data, most test procedures may fail to perform well.
Martin Klein, Peter Linton
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پژوهشهای ریاضی, 2016 This article is concerned with the comparison P-value and Bayesian measure for the variance of Normal distribution with mean as nuisance paramete. Firstly, the P-value of null hypothesis is compared with the posterior probability when we used a fixed ...
b falahifard +2 more
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