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Optimal fault detection is addressed within a statistical framework. A linear model with nuisance parameters and a general covariance matrix (not necessarily diagonal) is considered. It is supposed ...
referred to as the Power Law Process (PLP). The PLP is convenient in many ways, especially for its flexibility, easy implementation, and the interpretability of its parameters [9, 10]. Considering the fault ...
. This is independent of parameter values θm, thus all of the parameters θm are in fact nuisance parameters . From eq. (7) the optimal answer under the squared error loss function in eq. (5) is \begin{equation*} a^\ast ...
Abstract During deep reservoir engineering projects, in which permeability is enhanced by high-pressure fluid injection, seismicity is invariably induced, posing nuisance to the local population ...
Abstract Cognitive motor dissociation describes a subset of patients with disorders of consciousness who show neuroimaging evidence of consciousness but no detectable command-following behaviours ...
, when tested statistically , the allocation of classifying edges for these two transitions are significantly different (, ). Finally, as shown in Figures 3d and 4c, as compared to LOC, classification of R ...
in determinisitc inversions are tailored for the search of a single optimal or best-fitting model. This makes it difficult, if not impossible, to perform thorough statistical analysis of model uncertainties ...
the monitoring approach. We conclude by a discussion of the potential role and limitations of central statistical monitoring, and we argue that it can both optimize on-site monitoring and improve the quality ...
production is shifted to the right hemisphere, related functions would be expected to lateralize to the same hemisphere to achieve optimal information exchange, whereas unrelated functions may reside ...
be more sensitive than other methods in detecting nuanced brain changes underlying individual differences (Grayson et al. 2014; Cao et al. 2020; Collin et al. 2017; Reijmer et al. 2015; van den Heuvel et al ...
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