Results 21 to 30 of about 3,645 (233)
A General Probabilistic Forecasting Framework for Offshore Wind Power Fluctuations
Accurate wind power forecasts highly contribute to the integration of wind power into power systems. The focus of the present study is on large-scale offshore wind farms and the complexity of generating accurate probabilistic forecasts of wind power ...
Henrik Madsen +2 more
doaj +1 more source
DOA Estimation in Heteroscedastic Noise with Sparse Bayesian Learning
We consider direction of arrival (DOA) estimation from long-term observations in a noisy environment. In such an environment the noise source might evolve, causing the stationary models to fail.
Mecklenbräuker, Christoph +3 more
core +1 more source
Skill improvement of dynamical seasonal Arctic sea ice forecasts
We explore the error and improve the skill of the outcome from dynamical seasonal Arctic sea ice reforecasts using different bias correction and ensemble calibration methods. These reforecasts consist of a five‐member ensemble from 1979 to 2012 using the
Folmer Krikken +4 more
doaj +1 more source
The Gauss-Markov (GM) model and the Errors-in-Variables (EIV) model are frequently used to perform 3D coordinate transformations in geodesy and engineering surveys.
Hu Chuan, Chen Yi
doaj +1 more source
Extreme conditional expectile estimation in heavy-tailed heteroscedastic regression models [PDF]
Expectiles define a least squares analogue of quantiles. They have been the focus of a substantial quantity of research in the context of actuarial and financial risk assessment over the last decade.
Stupfler, Gilles Claude +3 more
core +1 more source
Error in the article "Construction D-optimal designs of experiments for linear multiple regression with heteroscedastic observations"
Valery P. Kirlitsa
doaj
Forecasting Volatility Spillovers Using Advanced GARCH Models: Empirical Evidence for Developed Stock Markets from Austria and USA [PDF]
The research study voyage commences with the foundational objective of fitting a suitable Generalized Autoregressive Conditional Heteroscedastic (GARCH) model to assess market volatility, a fundamental pillar of financial analysis.
Bharat Kumar Meher +5 more
doaj +1 more source
Empirical array quality weights in the analysis of microarray data
Background Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or "filtered" from further analysis to avoid misleading results.
Holloway Andrew +6 more
doaj +1 more source
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source
Objective The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in those with IBD, but safety data are mixed. Methods This retrospective cohort study included patients with IBD aged at least 18 years from Optum's deidentified ...
Adam S. Mayer +4 more
wiley +1 more source

