Spread, Estimators and Nuisance Parameters [PDF]
Bernoulli, 1997 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van den Heuvel, E.R., Klaassen, C.A.J.
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Sample Size Calculation: Inaccurate A Priori Assumptions for Nuisance Parameters Can Greatly Affect the Power of a Randomized Controlled Trial. [PDF]
PLoS ONE, 2015 We aimed to examine the extent to which inaccurate assumptions for nuisance parameters used to calculate sample size can affect the power of a randomized controlled trial (RCT).
Elsa Tavernier, Bruno Giraudeau
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Hybrid Cramér-Rao Bound for Quantum Bayes Point Estimation with Nuisance Parameters [PDF]
EntropyWe develop a hybrid framework for quantum parameter estimation in the presence of nuisance parameters. In this scheme, the parameters of interest are treated as fixed non-random parameters while nuisance parameters are integrated out with respect to a ...
Jianchao Zhang, Jun Suzuki
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Comparison of nuisance parameters in pediatric versus adult randomized trials: a meta-epidemiologic empirical evaluation [PDF]
BMC Medical Research Methodology, 2018 Background We wished to compare the nuisance parameters of pediatric vs. adult randomized-trials (RCTs) and determine if the latter can be used in sample size computations of the former. Methods In this meta-epidemiologic empirical evaluation we examined
Ben Vandermeer +11 more
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Geometry of Statistical Manifolds [PDF]
EntropyA statistical manifold M can be defined as a Riemannian manifold each of whose points is a probability distribution on the same support. In fact, statistical manifolds possess a richer geometric structure beyond the Fisher information metric defined on ...
Paul W. Vos
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Objective Priors for Invariant e-Values in the Presence of Nuisance Parameters [PDF]
EntropyThis paper aims to contribute to refining the e-values for testing precise hypotheses, especially when dealing with nuisance parameters, leveraging the effectiveness of asymptotic expansions of the posterior. The proposed approach offers the advantage of
Elena Bortolato, Laura Ventura
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On a unified framework for linear nuisance parameters [PDF]
EURASIP Journal on Advances in Signal Processing, 2017 Estimation problems in the presence of deterministic linear nuisance parameters arise in a variety of fields. To cope with those, three common methods are widely considered: (1) jointly estimating the parameters of interest and the nuisance parameters, (2) projecting out the nuisance parameters, (3) selecting a reference and then taking differences ...
Yongchang Hu, Geert Leus
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Bayesian priors and nuisance parameters
, 2016 Bayesian techniques are widely used to obtain spectral functions from correlators. We suggest a technique to rid the results of nuisance parameters, ie, parameters which are needed for the regularization but cannot be determined from data. We give examples where the method works, including a pion mass extraction with two flavours of staggered quarks at
Gupta, Sourendu, Lahiri, Anirban
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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 ...
Wang, Xing
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Cosmology with 6 parameters in the Stage-IV era: efficient marginalisation over nuisance parameters
The Open Journal of Astrophysics, 2023 The analysis of photometric large-scale structure data is often complicated by the need to account for many observational and astrophysical systematics.
Boryana Hadzhiyska +6 more
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