Results 61 to 70 of about 1,202,565 (290)
Mathematics, 2023 In this paper, we propose a model averaging estimation for the varying-coefficient partially linear models with missing responses. Within this context, we construct a HRCp weight choice criterion that exhibits asymptotic optimality under certain ...
Jie Zeng, Weihu Cheng, Guozhi Hu
doaj +1 more source
Assessing forecast uncertainties in a VECX model for Switzerland: an exercise in forecast combination across models and observation windows [PDF]
, 2007 model for Switzerland. Forecast uncertainty is evaluated in three different dimensions. First, we investigate the effect on forecasting performance of averaging over forecasts from different models. Second, we look at different estimation windows.
Assenmacher-Wesche, Katrin +1 more
core +3 more sources
Mixture model averaging for clustering [PDF]
Advances in Data Analysis and Classification, 2014 In mixture model-based clustering applications, it is common to fit several models from a family and report clustering results from only the `best' one. In such circumstances, selection of this best model is achieved using a model selection criterion, most often the Bayesian information criterion.
Wei, Yuhong, McNicholas, Paul D.
openaire +2 more sources
Digital Mapping of Soil Classes Using Ensemble of Models in Isfahan Region, Iran
Soil Systems, 2019 Digital soil maps can be used to depict the ability of soil to fulfill certain functions. Digital maps offer reliable information that can be used in spatial planning programs.
Ruhollah Taghizadeh-Mehrjardi +5 more
doaj +1 more source
Duplication-divergence model of protein interaction network
, 2004 We show that the protein-protein interaction networks can be surprisingly well described by a very simple evolution model of duplication and divergence.
A. Yuryev +11 more
core +1 more source
Forecasting in the presence of recent structural change [PDF]
, 2011 We examine how to forecast after a recent break. We consider monitoring for change and then combining forecasts from models that do and do not use data before the change; and robust methods, namely rolling regressions, forecast averaging over different ...
Eklund, J., Kapetanios, G., Price, S.
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser +5 more
wiley +1 more source
Econometric Fine Art Valuation by Combining Hedonic and Repeat-Sales Information
Econometrics, 2018 Statistical methods are widely used for valuation (prediction of the value at sale or auction) of a unique object such as a work of art. The usual approach is estimation of a hedonic model for objects of a given class, such as paintings from a particular
John W. Galbraith, Douglas J. Hodgson
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li +9 more
wiley +1 more source