Convergence of statistical moments of particle density time series in scrape-off layer plasmas [PDF]
, 2015 Particle density fluctuations in the scrape-off layer of magnetically confined plasmas, as measured by gas-puff imaging or Langmuir probes, are modeled as the realization of a stochastic process in which a superposition of pulses with a fixed shape, an ...
O. E. Garcia, Pecseli H. L., R. Kube
core +2 more sources
Minimum Mean Squared Error Model Averaging in Likelihood Models
, 2015 A data-driven method for frequentist model averaging weight choice is developed for general likelihood models. We propose to estimate the weights which minimize an estimator of the mean squared error of a weighted estimator in a local misspecification ...
Ali Charkhi, G. Claeskens, B. Hansen
semanticscholar +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Mean Squared Error Representative Points of Pareto Distributions and Their Estimation
EntropyPareto distributions are widely applied in various fields, such as economics, finance, and environmental studies. The modeling of real-world data has created a demand for the discretization of Pareto distributions.
Xinyang Li, Xiaoling Peng
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Comparisons of the Performances of Estimators of a Bounded Normal Mean Under Squared-Error Loss
Revstat Statistical Journal, 2009 This paper is concerned with the estimation under squared-error loss of a normal mean θ based on X ∼ N (θ, 1) when |θ| ≤ m for a known m > 0. Nine estimators are compared, namely the maximum likelihood estimator (mle), three dominators of the mle ...
Yiping Dou , Constance van Eeden
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Effects of chronic browsing on life‐history traits of an irruptive large herbivore population
Population Ecology, EarlyView.This study aimed to determine the relationship between diet quality, body mass, and size (hind foot length), and female reproduction and sought to identify the mechanism by which high density under severe food limitations is maintained. Our results demonstrated that sika deer introduced to Nakanoshima Island have maintained high densities through high ...
Koichi Kaji +9 more
wiley +1 more source
Agricultural Cultivation Cost Prediction Using Neural Networks and Feature Importance Analysis
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Agriculture is one of the most important sectors integral to human civilization, and technological adaptation is necessary to maintain its quality. This research aims to achieve high productivity in the agricultural sector by using neural networks or ...
Salmania Putri +2 more
doaj +1 more source
Higher Order Mean Squared Error of Generalized Method of Moments Estimators for Nonlinear Models
Discrete Dynamics in Nature and Society, 2014 Generalized method of moments (GMM) has been widely applied for estimation of nonlinear models in economics and finance. Although generalized method of moments has good asymptotic properties under fairly moderate regularity conditions, its finite sample ...
Yi Hu +3 more
doaj +1 more source
Network topology drives population temporal variability in experimental habitat networks
Population Ecology, EarlyView.Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu +3 more
wiley +1 more source
Investigation of the efficiency of support vector machine in predicting changes in water quality parameters (Case study: Choghakhor International Wetland) [PDF]
بومشناسی آبزیان, 2020 Inland waters, such as wetlands, are considered to be sensitive ecosystems, and sustainable productivity can only be achieved by adopting an appropriate environmental approach.
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