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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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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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Approximated Information Analysis in Bayesian Inference
Entropy, 2015 In models with nuisance parameters, Bayesian procedures based on Markov Chain Monte Carlo (MCMC) methods have been developed to approximate the posterior distribution of the parameter of interest.
Jung In Seo, Yongku Kim
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External Bootstrap Tests for Parameter stability [PDF]
, 2002 This article considers tests for parameter stability over time in general econometric models, possibly nonlinear-in-variables. Existing test statistics are commonly not asymptotically pivotal under nonstandard conditions.
Delgado, Miguel A., Fiteni, Inmaculada
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Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions
Econometrics, 2021 In this study, we investigate the estimation and inference on a low-dimensional causal parameter in the presence of high-dimensional controls in an instrumental variable quantile regression.
Jau-er Chen +2 more
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Estimating nuisance parameters in inverse problems [PDF]
Inverse Problems, 2012 16 pages, 5 ...
Aravkin, Aleksandr Y +1 more
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The Use of Chemical Sensors to Monitor Odour Emissions at Municipal Waste Biogas Plants
Applied Sciences, 2021 Municipal waste treatment plants are an important element of the urban area infrastructure, but also, they are a potential source of odour nuisance. Odour impact from municipal waste processing plants raises social concerns regarding the well-being of ...
Marta Wiśniewska +2 more
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Asymptotic behaviour of estimation equations with functional nuisance or working parameter [PDF]
, 1997 We are concerned with the asymptotic theory of semiparametric estimation equations. We are dealing with estimation equations which have a parametric component of interest and a functional (nonparametric) nuisance component.
Pruscha, H., Wellisch, U.
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Parameter uncertainties in weighted unbinned maximum likelihood fits
European Physical Journal C: Particles and Fields, 2022 Parameter estimation via unbinned maximum likelihood fits is central for many analyses performed in high energy physics. Unbinned maximum likelihood fits using event weights, for example to statistically subtract background contributions via the sPlot ...
Christoph Langenbruch
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