Results 61 to 70 of about 442,631 (299)

Fitting non‐Gaussian persistent data

open access: yesApplied Stochastic Models in Business and Industry, 2011
AbstractThis paper discusses a new methodology for modeling non‐Gaussian time series with long‐range dependence. The class of models proposed admits continuous or discrete data and considers the conditional variance as a function of the conditional mean. These types of models are motivated by empirical properties exhibited by some time series.
Palma Manríquez, Wilfredo Omar   +1 more
openaire   +4 more sources

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

Statistical Characterisation of GNSS Data for a Stationary Receiver using Non-Gaussian Distributions

open access: yesMeasurement Science Review
Accurately characterising datasets is crucial for effective statistical modelling, particularly when analysing Global Navigation Satellite System (GNSS) data.
Bantu Abu, Wiora Józef
doaj   +1 more source

On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration

open access: yesShock and Vibration, 2016
Gaussian signal is produced by ordinary random vibration controllers to test the products in the laboratory, while the field data is usually non-Gaussian.
Fei Xu, Chuanri Li, Tongmin Jiang
doaj   +1 more source

Bregman Cost for Non-Gaussian Noise [PDF]

open access: yes, 2016
One of the tasks of the Bayesian inverse problem is to find a good estimate based on the posterior probability density. The most common point estimators are the conditional mean (CM) and maximum a posteriori (MAP) estimates, which correspond to the mean ...
Burger, Martin   +2 more
core   +1 more source

Non-Gaussian Statistics of Multiple Filamentation

open access: yes, 2010
We consider the statistics of light amplitude fluctuations for the propagation of a laser beam subjected to multiple filamentation in an amplified Kerr media, with both linear and nonlinear dissipation.
Bergé   +17 more
core   +2 more sources

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende   +26 more
wiley   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher   +10 more
wiley   +1 more source

Rao and Wald Tests in Nonzero-Mean Non–Gaussian Sea Clutter

open access: yesRemote Sensing
The non-Gaussian nature of radar-observed clutter echoes induces performance degradation in the context of remote sensing target detection when using conventional Gaussian detectors. To enhance target detection performance, this study addresses the issue
Haoqi Wu   +3 more
doaj   +1 more source

FREQUENCY DOMAIN DAMAGE CALCULATION AND EXPERIMENTAL VERIFICATION OF NON-GAUSSIAN EXCITATION BASED ON GMM MODEL (MT)

open access: yesJixie qiangdu, 2023
In order to study the frequency domain calculation method of non-Gaussian excitation, Gaussian mixture model(GMM) is introduced. The measured non-Gaussian excitation is transformed into probabilistic power spectrum(PPSD) through GMM model, so that the ...
XU Yang   +3 more
doaj  

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