Results 71 to 80 of about 10,083 (253)

An Ergodic Theorem on Ergodic Transport

open access: yes, 2015
Here we present an ergodic theorem which adapts a Theorem by J. Elton to the classical thermodynamical formalism and to ergodic transport. First, we discuss how Elton's theorem can be used to characterise Gibbs measures for expanding maps. Such characterisation will be done by constructing a stochastic process, defined by a iterated function system ...
Mohr, Joana, Souza, Rafael Rigão
openaire   +2 more sources

An intuitive method to calculate the utilization distribution of an animal from step‐selection analysis

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Step‐selection analysis (SSA) is a popular tool for estimating resource/habitat selection conditional on the local availability of conditions as determined by an animal's movement capacity. These models can be subsequently used to parameterize a movement model; however, most SSAs focus instead merely on interpreting the direction and magnitude
Natasha Ellison‐Neary   +4 more
wiley   +1 more source

Spatial Ergodicity of Doppler Characteristics in Polarimetric Ocean Radar Scattering: A Numerical Study

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study numerically investigates the spatial ergodicity of Doppler characteristics in polarimetric ocean radar scattering. The full Apel wave spectrum is employed to generate 2-D time-varying sea surfaces that involve all dominant large-scale gravity ...
Jianing Shao   +5 more
doaj   +1 more source

Ergodic Quantum Computing [PDF]

open access: yesQuantum Information Processing, 2005
We propose a (theoretical ;-) model for quantum computation where the result can be read out from the time average of the Hamiltonian dynamics of a 2-dimensional crystal on a cylinder. The Hamiltonian is a spatially local interaction among Wigner-Seitz cells containing 6 qubits.
Dominik Janzing, Pawel Wocjan
openaire   +3 more sources

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

open access: yesBritish 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
wiley   +1 more source

Robustness of quantum many-body scars in the presence of a Markovian bath

open access: yesCommunications Physics
Generic closed quantum many-body systems tend to thermalize, a phenomenon known as quantum ergodicity, where initial local information scrambles into the full space.
Xiang-Ping Jiang   +5 more
doaj   +1 more source

MODEL OF THE QUALITY MANAGEMENT SYSTEM OF A MACHINE TOOL COMPANY

open access: yesВісник Національного технічного університету «ХПÌ». Серія: Стратегічне управління, управління портфелями, програмами та проектами, 2016
Development of models and methods such that would improve the competitive position of enterprises by improving management processes is an important task of project management.
Катерина Вікторівна КОЛЕСНІКОВА   +3 more
doaj   +1 more source

Wave Tracing: Generalizing The Path Integral To Wave Optics

open access: yesComputer 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
wiley   +1 more source

A note on the geometric ergodicity of a nonlinear AR–ARCH model [PDF]

open access: yes
This note studies the geometric ergodicity of nonlinear autoregressive models with conditionally heteroskedastic errors. A nonlinear autoregression of order p (AR(p)) with the conditional variance specified as the conventional linear autoregressive ...
Mika Meitz, Pentti Saikkonen
core  

Discharge‐Targeted Hydraulic Tomography to Quantify and Locate Aquifer Discharge

open access: yesGroundwater, EarlyView.
Abstract Quantifying and localizing groundwater discharge is inherently difficult. It requires knowledge about hydraulic conductivity and the hydraulic gradient on the scale of interest. Conventional hydraulic testing, such as pumping tests, may fail in the presence of heterogeneity and complex structural boundaries.
Konstantin Drach   +2 more
wiley   +1 more source

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