Results 11 to 20 of about 91,138 (340)
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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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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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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Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty [PDF]
The Cryosphere, 2021 We consider the problem of inferring the basal sliding coefficient field for an uncertain Stokes ice sheet forward model from synthetic surface velocity measurements.
O. Babaniyi +3 more
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Size and power of pretest procedures [PDF]
, 2000 A pre-test procedure consists of a preliminary test on a nuisance parameter, investigating whether it equals a given value or not, followed by the main testing problem on the parameter of interest.
Albers, W. +2 more
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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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Inference with the Median of a Prior
Entropy, 2006 We consider the problem of inference on one of the two parameters of a probability distribution when we have some prior information on a nuisance parameter.
Ali Mohammad-Djafari, Adel Mohammadpour
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Finite Sample Bernstein -- von Mises Theorem for Semiparametric Problems [PDF]
, 2014 The classical parametric and semiparametric Bernstein -- von Mises (BvM) results are reconsidered in a non-classical setup allowing finite samples and model misspecification. In the case of a finite dimensional nuisance parameter we obtain an upper bound
Panov, Maxim, Spokoiny, Vladimir
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Entropy, 2018 The Sharpe ratio is a widely used risk-adjusted performance measurement in economics and finance. Most of the known statistical inferential methods devoted to the Sharpe ratio are based on the assumption that the data are normally distributed.
Yuejiao Fu +2 more
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Quotient of information matrices in comparison of linear experiments for quadratic estimation
Open Mathematics, 2017 The ordering of normal linear experiments with respect to quadratic estimation, introduced by Stępniak in [Ann. Inst. Statist. Math. A 49 (1997), 569-584], is extended here to the experiments involving the nuisance parameters. Typical experiments of this
Stępniak Czesław
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