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
doaj +3 more sources
Estimating Nuisance Parameters in Inverse Problems [PDF]
Many inverse problems include nuisance parameters which, while not of direct interest, are required to recover primary parameters. Structure present in these problems allows efficient optimization strategies - a well known example is variable projection,
Aleksandr Y Aravkin +17 more
core +5 more sources
Limits and Confidence Intervals in the Presence of Nuisance Parameters [PDF]
We study the frequentist properties of confidence intervals computed by the method known to statisticians as the Profile Likelihood. It is seen that the coverage of these intervals is surprisingly good over a wide range of possible parameter values for ...
Angel M. López +14 more
core +7 more sources
Cosmology with 6 parameters in the Stage-IV era: efficient marginalisation over nuisance parameters [PDF]
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 +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
On a unified framework for linear nuisance parameters [PDF]
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
openaire +6 more sources
Incorporating Nuisance Parameters in Likelihoods for Multisource Spectra
We describe here the general mathematical approach to constructing likelihoods for fitting observed spectra in one or more dimensions with multiple sources, including the effects of systematic uncertainties represented as nuisance parameters, when the ...
Conway, J. S.
core +2 more sources

