Results 51 to 60 of about 14,052 (271)

The Use of Minimization Solvers for Optimizing Time-Varying Autoregressive Models and Their Applications in Finance

open access: yesMathematics
Time series data are fundamental for analyzing temporal dynamics and patterns, enabling researchers and practitioners to model, forecast, and support decision-making across a wide range of domains, such as finance, climate science, environmental studies,
Zhixuan Jia   +3 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

A Rare RIPK3 Variant Enhances Necroptosis and Promotes Inflammation in a Still Disease–Like Autoinflammatory Syndrome

open access: yesArthritis &Rheumatology, EarlyView.
Objective Still disease represents a prototypical polygenic systemic autoinflammatory disease, characterized by recurrent systemic inflammation and dysregulation of innate immunity. Despite extensive clinical characterization, familial clustering Still disease remains unreported.
Longfang Chen   +23 more
wiley   +1 more source

Unified framework for multi-type higher-order relationships: an application in urban land use identification

open access: yesInternational Journal of Digital Earth
Geographic Artificial Intelligence supports smart city land management, where modeling complex inter-parcel relationships and extracting effective features remain key challenges for accurate land use classification.
Huijun Zhou, Jing Zhang
doaj   +1 more source

Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters [PDF]

open access: yes, 2012
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes.
Husmeier, D., Grzegorczyk, M.
core  

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice

open access: yesBiological Reviews, EarlyView.
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins   +9 more
wiley   +1 more source

Topological signatures of socio-energy transitions in South Africa

open access: yesEnvironmental and Sustainability Indicators
The success of energy transitions in coal-dependent economies, such as South Africa, is critical not only for reducing greenhouse gas emissions but also for achieving Sustainable Development Goal 7 (SDG 7) on affordable and clean energy, ensuring access ...
Tichaona Chikore, Farai Nyabadza
doaj   +1 more source

Non-homogeneous hidden Markov-switching models for wind time series

open access: yes, 2015
International audienceIn this paper we propose various Markov-switching auotoregressive models for bivariate time series which describe wind conditions at a single location.
Ailliot, Pierre   +3 more
core   +1 more source

Backward Non-Homogeneous Markov Systems: Weak Ergodicity

open access: yesMethodology and Computing in Applied Probability
Abstract The foundation of the novel stochastic process Backward Non-Homogeneous Markov system ( $$\mathcal {B}$$ B -NHMS) is provided in the present.
openaire   +2 more sources

Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni   +2 more
wiley   +1 more source

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