Results 51 to 60 of about 5,384,650 (236)
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
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Stability of reaction–diffusion systems with stochastic switching
Nonlinear Analysis, 2019 In this paper, we investigate the stability for reaction systems with stochastic switching. Two types of switched models are considered: (i) Markov switching and (ii) independent and identically distributed switching.
Lijun Pan, Jinde Cao, Ahmed Alsaedi
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Wave Tracing: Generalizing The Path Integral To Wave Optics
Computer Graphics Forum, EarlyView.Abstract Modeling the wave nature of light and the propagation and diffraction of electromagnetic fields is crucial for the accurate simulation of many phenomena, yet wave simulations are significantly more computationally complex than classical ray‐based models.
Shlomi Steinberg, Matt Pharr
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ICT Express, 2023 Massive multiple-input multiple-output (MIMO) systems have become an essential feature in the fifth-generation (5G) wireless communication networks. Due to the commercialization of 5G mobile communication devices, the number of multi-antenna devices have
Kyungsik Min +2 more
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Scaling Theory of Fading Ergodicity
Physical Review LettersIn most noninteracting quantum systems, the scaling theory of localization predicts one-parameter scaling flow in both ergodic and localized regimes. A corresponding scaling theory of many-body ergodicity breaking is still missing.
Rafał Świętek +4 more
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On Integral Priors for Multiple Comparison in Bayesian Model Selection
International Statistical Review, EarlyView.Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón +2 more
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, 2009 This is an expository article/encyclopedia entry explaining the history, techniques, and central results in the field of smooth ergodic theory.
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Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method
International Statistical Review, EarlyView.Summary Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we briefly review some available methods for handling missing values and introduce the temporal Wasserstein imputation, a novel method for imputing missing data in time series.
Shuo‐Chieh Huang +2 more
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Absolute continuity and hyponormal operators
International Journal of Mathematics and Mathematical Sciences, 1981 Let T be a completely hyponormal operator, with the rectangular representation T=A+iB, on a separable Hilbert space. If 0 is not an eigenvalue of T* then T also has a polar factorization T=UP, with U unitary. It is known that A,B and U are all absolutely
C. R. Putnam
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Equilibration of quantum cat states
SciPost Physics, 2020 We study the equilibration properties of isolated ergodic quantum systems initially prepared in a cat state, i.e a macroscopic quantum superposition of states.
Tony Jin
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