Results 81 to 90 of about 514,307 (282)

Powers of the Stochastic Gompertz and Lognormal Diffusion Processes, Statistical Inference and Simulation

open access: yesMathematics, 2020
In this paper, we study a new family of Gompertz processes, defined by the power of the homogeneous Gompertz diffusion process, which we term the powers of the stochastic Gompertz diffusion process.
Eva María Ramos-Ábalos   +2 more
doaj   +1 more source

Statistical inference with probabilistic graphical models [PDF]

open access: yes, 2015
Abstract This chapter introduces graphical models as a powerful tool to derive efficient algorithms for inference problems. When dealing with complex interdependent variables, inference problems may become of huge complexity. In this context, the structure of the variables is of great interest.
openaire   +1 more source

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

open access: yesAging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst   +4 more
wiley   +1 more source

Fast and Interpretable Probabilistic Solar Power Forecasting via a Multi-Observation Non-Homogeneous Hidden Markov Model

open access: yesEnergies
The increasing complexity and uncertainty associated with high renewable energy penetration require forecasting methods that provide more comprehensive information for risk analysis and energy management.
Jiaxin Zhang, Siyuan Shang
doaj   +1 more source

Probabilistic quantitative precipitation forecasting using Ensemble Model Output Statistics [PDF]

open access: yesQuarterly Journal of the Royal Meteorological Society, 2013
AbstractStatistical post‐processing of dynamical forecast ensembles is an essential component of weather forecasting. In this article, we present a post‐processing method which generates full predictive probability distributions for precipitation accumulations based on ensemble model output statistics (EMOS).We model precipitation amounts by a ...
openaire   +2 more sources

Prognostic Impact of European LeukemiaNet Genetic Risk Stratification System in Adult Patients With Acute Myeloid Leukemia

open access: yesAging and Cancer, EarlyView.
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha   +4 more
wiley   +1 more source

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham   +7 more
wiley   +1 more source

Bisimulation, Logic and Reachability Analysis for Markovian Systems [PDF]

open access: yes, 2008
In the recent years, there have been a large amount of investigations on safety verification of uncertain continuous systems. In engineering and applied mathematics, this verification is called stochastic reachability analysis, while in computer science ...
Bujorianu, L.M., Bujorianu, M.C.
core   +2 more sources

Orthogonal arrays-based method for the probabilistic voltage stability analysis of unbalanced power systems

open access: yesInternational Journal of Electrical Power & Energy Systems
In the newly liberalized market, transmission and distribution systems are widely recognized as large-scale uncertain systems due to the stochastic nature of renewable generation and load demands. In this context, probabilistic voltage stability analysis
Guido Carpinelli   +3 more
doaj   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon   +12 more
wiley   +1 more source

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