Results 41 to 50 of about 28,224 (283)
Multiscale scanning with nuisance parameters
, 2023 We investigate the problem to find anomalies in a $d$-dimensional random field via multiscale scanning in the presence of nuisance parameters. This covers the common situation that either the baseline-level or additional parameters such as the variance ...
Werner, Frank +2 more
core +1 more source
Advanced Science, EarlyView.Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
The Agreement between the Generalized p Value and Bayesian Evidence in the One-Sided Testing Problem
International Journal of Mathematics and Mathematical Sciences, 2016 In the problem of testing one-sided hypotheses, a frequentist may measure evidence against the null hypothesis by the p value, while a Bayesian may measure it by the posterior probability that the null hypothesis is true.
Yuliang Yin, Bingbing Wang
doaj +1 more source
The NOSE Platform®: A Real-Time Solution to Forecast & Monitor Nuisance Odours
Chemical Engineering Transactions, 2012 In recent years, the public’s awareness and response to nuisance odours have risen markedly. Accordingly, integration of industrial sites, such as wastewater treatment plants and solid waste treatment facilities, within their local environment represents
A. Givelet +3 more
doaj +1 more source
The DNNLikelihood: enhancing likelihood distribution with Deep Learning
European Physical Journal C: Particles and Fields, 2020 We introduce the DNNLikelihood, a novel framework to easily encode, through deep neural networks (DNN), the full experimental information contained in complicated likelihood functions (LFs).
Andrea Coccaro +3 more
doaj +1 more source
Linear model with nuisance parameters and with constraints on useful and nuisance parameters [PDF]
, 2006 summary:The properties of the regular linear model are well known (see [1], Chapter 1). In this paper the situation where the vector of the first order parameters is divided into two parts (to the vector of the useful parameters and to the vector of the ...
Kunderová, Pavla, Marek, Jaroslav
core
High-dimensional nuisance parameters: an example from parametric survival analysis [PDF]
, 2020 Parametric statistical problems involving both large amounts of data and models with many parameters raise issues that are explicitly or implicitly differential geometric.
Cox, DR, Battey, Heather
core +1 more source
Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease
Annals of Neurology, EarlyView.Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova +27 more
wiley +1 more source
Nuisance parameters, composite likelihoods and a panel of GARCH models [PDF]
We investigate the properties of the composite likelihood (CL) method for (T ×N_T ) GARCH panels. The defining feature of a GARCH panel with time series length T is that, while nuisance parameters are allowed to vary across N_T series, other parameters ...
Neil Shephard +2 more
core +1 more source
Sufficient Statistics with Nuisance Parameters
The Annals of Mathematical Statistics, 1956 For some problems involving a parameter of interest and a nuisance parameter, it is possible to define a statistic sufficient for the parameter of interest. The definition has a number of applications in nonparametric theory. Two theorems are derived and used by way of illustration to prove that the sign test is a uniformly most powerful test for the ...
openaire +3 more sources