Hybrid Cramér-Rao Bound for Quantum Bayes Point Estimation with Nuisance Parameters [PDF]
We 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
doaj +2 more sources
Comparison of nuisance parameters in pediatric versus adult randomized trials: a meta-epidemiologic empirical evaluation [PDF]
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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Sample Size Calculation: Inaccurate A Priori Assumptions for Nuisance Parameters Can Greatly Affect the Power of a Randomized Controlled Trial. [PDF]
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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Objective Priors for Invariant e-Values in the Presence of Nuisance Parameters [PDF]
This 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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Geometry of Statistical Manifolds [PDF]
A 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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Estimating Equations in the Presence of a Nuisance Parameter
Estimating equations for a real parameter $\theta$ which indexes a family of densities $p(x, \theta)$ were considered in the note by Godambe (Ann. Math. Statist. 31 (1960) 1208-1211). An optimality property of the equation $\partial \log p/\partial \theta = 0$ among unbiased estimating equations was established.
Godambe, V. P., Thompson, M. E.
exaly +3 more sources
Profile Likelihood for Hierarchical Models Using Data Doubling
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
doaj +1 more source
Cosmology with 6 parameters in the Stage-IV era: efficient marginalisation over nuisance parameters
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
doaj +2 more sources
Constraining single-field inflation with MegaMapper
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
doaj +1 more source
Spread, Estimators and Nuisance Parameters [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van den Heuvel, E.R., Klaassen, C.A.J.
openaire +5 more sources

