Results 51 to 60 of about 10,696 (267)
Probabilistic runoff forecasting based on coupled multi-model posterior distributions
Shui kexue jinzhanThe probabilistic forecast performance of a single runoff model is highly dependent on its deterministic forecast accuracy，while traditional ensemble forecasting methods generally fail to account for the constraints imposed by initial hydrological states.
Zhen CUI +5 more
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Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case
Energies, 2021 In this work, we investigate a probabilistic method for electricity price forecasting, which overcomes traditional ones. We start considering statistical methods for point forecast, comparing their performance in terms of efficiency, accuracy, and ...
Emma Viviani +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa +7 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko +19 more
wiley +1 more source
Adaptive correction of deterministic models to produce probabilistic forecasts [PDF]
Hydrology and Earth System Sciences, 2012 This paper considers the correction of deterministic forecasts given by a flood forecasting model. A stochastic correction based on the evolution of an adaptive, multiplicative, gain is presented.
P. J. Smith +3 more
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Probabilistic Forecast Methods
, 2023 AbstractThe previous two chapters were concerned with point forecasts which only produce a single estimate for each time step in the forecast horizon, i.e. one value $$L_t$$ L t for each of the time periods $$t=N+1, N+2, \ldots , N+k$$ t
Stephen Haben +2 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen +21 more
wiley +1 more source
Uncertainty Quantification Analysis of Wind Power: A Data-Driven Monitoring-Forecasting Framework
IEEE Access, 2021 Advances in wind power system modeling have produced widespread socioeconomic benefits for alleviating global environmental problems. However, previous studies mainly payed attention to point forecasts of wind power system, with the absence of its ...
Wei Wei +4 more
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Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel +15 more
wiley +1 more source
Evaluating probabilistic forecasts for maritime engineering operations
Data-Centric Engineering, 2023 Maritime engineering relies on model forecasts for many different processes, including meteorological and oceanographic forcings, structural responses, and energy demands. Understanding the performance and evaluation of such forecasting models is crucial
Lachlan Astfalck +2 more
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