Results 61 to 70 of about 38,955 (95)

Sequential Change Detection with Local Differential Privacy. [PDF]

Entropy (Basel)
Zhang L, Liu X, Zhang R, Xie L.
europepmc   +1 more source

The independent predictive effect of insomnia symptoms before high-altitude exposure on acute mountain sickness: an observational study of healthy volunteers at 2726 m. [PDF]

Front Psychiatry
Hou S, Jiang J, Huang Y, Liang Y, Zhou X, Li L.   +5 more
europepmc   +1 more source

A construction of statistical inferences in geographically weighted univariate log-gamma regression. [PDF]

MethodsX
Rini DS, Purhadi, Andari S.
europepmc   +1 more source

Magnetic resonance imaging-based radiomics analysis: predicting vascular invasion in breast invasive ductal carcinoma using different machine learning models. [PDF]

Transl Cancer Res
Li H, Zhang L, Zeng Y, Zhang Y, Ye Z.
europepmc   +1 more source

A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study. [PDF]

Front Pediatr
Li Y, Chen Z, Wang X, Zheng C, Cui Z, Cheng S, Chu L, Ren C, Liu G.   +8 more
europepmc   +1 more source

Development and validation of a CT radiomics nomogram for preoperative prediction of right recurrent laryngeal nerve lymph node metastasis in thoracic esophageal squamous cell carcinoma. [PDF]

J Thorac Dis
Liu X, Wei Z, Li K, Sun S, Fan W, Wang Z, Zhao T, Yan T, Yan B, Zhao Z, Zhang G, Pan X, Li X.   +12 more
europepmc   +1 more source

Stress-Resistant Symbiodiniaceae and Diverse Bacterial Communities Promote Coral Persistence in Variable, Multi-Stressor Environments. [PDF]

Ecol Evol
Powell ME, Solomon SL, Schoepf V, Castillo KD.   +3 more
europepmc   +1 more source

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Statistical Modelling of Extreme Rainfall Indices using Multivariate Extreme Value Distributions

Environmental Modeling & Assessment, 2021
Multivariate extreme value models are used to investigate the combined behaviour of several weather variables. To investigate joint dependence of extreme rainfall events, a multivariate conditional modelling approach was considered to analyse the behaviour of joint extremes of rainfall events at selected weather stations in South Africa.
Tadele Akeba Diriba, Legesse Kassa Debusho   +1 more
openaire   +1 more source

Novelty Detection with Multivariate Extreme Value Statistics

Journal of Signal Processing Systems, 2010
Novelty detection, or one-class classification, aims to determine if data are "normal" with respect to some model of normality constructed using examples of normal system behaviour. If that model is composed of generative probability distributions, the extent of "normality" in the data space can be described using Extreme Value Theory (EVT), a branch ...
Clifton, D, Hugueny, S, Tarassenko, L
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Statistics for near independence in multivariate extreme values

Biometrika, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ledford, Anthony W., Tawn, Jonathan A.
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