Results 11 to 20 of about 28,224 (283)
Profile Likelihood for Hierarchical Models Using Data Doubling
Entropy, 2023 In scientific problems, an appropriate statistical model often involves a large number of canonical parameters. Often times, the quantities of scientific interest are real-valued functions of these canonical parameters.
Subhash R. Lele
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Constraining single-field inflation with MegaMapper
Physics Letters B, 2023 We forecast the constraints on single-field inflation from the bispectrum of future high-redshift surveys such as MegaMapper. Considering non-local primordial non-Gaussianity (NLPNG), we find that current methods will yield constraints of order σ(fNLeq ...
Giovanni Cabass +4 more
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On Root-N Consistency of Estimators for Nuisance Parameters of Asymptotic Optimal Tests: The I.I.D Case ( Abreviated Title: Root-N Consistency of Estimator) [PDF]
The Egyptian Statistical Journal, 1987 With suitable regularity conditions on the density func-tion, any estimator ein for the nuisance parameters ei which are root-n consistent under the null hypothesis Ho:w=0 are shown to be also root--n consistent for any sequence of alterna-tives (wn ...
Mohamed Habib
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Atmosphere, 2021 Prolonged exposure to odour emissions causes annoyance which leads to nuisance and consequently to complaints. Different methodologies exist in the literature to evaluate odour impacts, but not all are suitable to assess environmental odour nuisance ...
Tiziano Zarra +2 more
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A Bayesian look at nuisance parameters
Trabajos de Estadistica Y de Investigacion Operativa, 1980 The elimination of nuisance parameters has classically been tackled by variousad hoc devices, and has led to a number of attempts to define partial sufficiency and ancillarity. The Bayesian approach is clearly defined. This paper examines some classical procedures in order to see when they can be given a Bayesian justification.
Dawid, A. Philip
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Conditional Inference with a Functional Nuisance Parameter [PDF]
SSRN Electronic Journal, 2014 This paper shows that the problem of testing hypotheses in moment condition models without any assumptions about identification may be considered as a problem of testing with an infinite-dimensional nuisance parameter. We introduce a sufficient statistic for this nuisance parameter and propose conditional tests.
Andrews, Isaiah, Mikusheva, Anna
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Identifying Individual Camera Device From RAW Images
IEEE Access, 2018 This paper investigates the problem of identifying the individual imaging device source of the same model from a natural image in RAW format. We propose an enhanced Poissonian-Gaussian model describing the distribution of pixels from a RAW image.
Tong Qiao, Florent Retraint
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Redatuming physical systems using symmetric autoencoders
Physical Review Research, 2022 This paper considers physical systems described by hidden states and indirectly observed through repeated measurements corrupted by unmodeled nuisance parameters.
Pawan Bharadwaj +2 more
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Analysis of comparable academic performance: panel logistic regression model
Lietuvos Matematikos Rinkinys, 2010 Conditional logistic regression model is fitted to data of student academic performance. This enables one to compare difficulties of different examinations and to identify related factors.
Marijus Radavičius, Pavel Samusenko
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Bayesian Active Learning in the Presence of Nuisance Parameters [PDF]
, 2023 In many settings, such as scientific inference, optimization, and transfer learning, the learner has a well-defined objective, which can be treated as estimation of a target parameter, and no intrinsic interest in characterizing the entire data ...
Martinelli, Julien +3 more
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