Results 151 to 160 of about 11,564,802 (285)
On a Gibbs sampler based random process in Bayesian nonparametrics [PDF]
We define and investigate a new class of measure-valued Markov chains by resorting to ideas formulated in Bayesian nonparametrics related to the Dirichlet process and the Gibbs sampler.
Stefano Favaro +2 more
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Integrated Bibliometric and Computational Analysis of Artificial Intelligence in Sustainable Finance
Sustainable Development, EarlyView.ABSTRACT The rapid integration of artificial intelligence into financial services presents a transformative opportunity to advance sustainability goals, yet a systematic understanding of its current state and impact is essential. This review aims to synthesize existing literature on AI applications within the financial sector, emphasizing their role in
Sajjad Vojdanian +4 more
wiley +1 more source
Small, EarlyView.Digital twin‐based structural analysis reveals PTFE‐induced structural evolution in dry‐processed electrodes, characterized by increased NCM/LPSCl interfacial contact and homogenized component distributions. These structural features establish a larger active surface area and well‐connected electron and ion transport pathways, enabling enhanced ...
Jongjun Lee +8 more
wiley +1 more source
On consistency of nonparametric normal mixtures for Bayesian density estimation. [PDF]
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference both from a theoretical and applied perspective. As for the latter, the celebrated Dirichlet process has been successfully exploited within Bayesian mixture
Antonio Lijoi +2 more
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Dirichlet process cluster kernel [PDF]
, 2017 This thesis aims to apply the Dirichlet process mixture model to the cluster kernel framework. The probabilistic cluster kernel is extended with a Bayesian nonparametric model to avoid critical parameters within the model.
Foslid, Tobias Olsen
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The Hidden Hallyu Emerged: Exploring the Key Motives of Reading Adapted K‐Webtoons of South Korea
Thunderbird International Business Review, EarlyView.ABSTRACT This study aims to investigate why global fans read Korean webtoons (K‐webtoons) and how their motivations vary across different genres. Previous studies have approached the Korean Wave (Hallyu) from a national perspective, emphasizing its influence and primarily discussing K‐pop and K‐drama.
Hoseok Gwak +3 more
wiley +1 more source
A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana
Thunderbird International Business Review, EarlyView.ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette +3 more
wiley +1 more source
Behavioral response of moose Alces alces to summer heat stress
Wildlife Biology, EarlyView.Minnesota moose are heat‐stressed during summers, which is adversely impacting their survival. We used both movement and activity data to explore the behavioral responses of Minnesota moose experiencing heat stress, termed ‘hot moose events' or HMEs, to understand how both ambient temperature and available habitat contribute to the ability of these ...
Michelle Carstensen +3 more
wiley +1 more source
Hyperspectral and Multispectral Image Fusion via Deep Generalised Linear Mixed Model
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Hyperspectral–multispectral image fusion is an incomplete information fusion problem, and directly embedding information can lead to modality‐specific responses and cause spectral distortion, whereas the strong interband redundancy of hyperspectral images makes full‐dimensional fusion inefficient.
Jiaming Wang +5 more
wiley +1 more source
MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models
, 2006 We compare the predictive accuracy of the Dirichlet Process Gaussian mixture models using conjugate and conditionally conjugate priors and show that better density models result from using the wider class of priors.
Görür, D., Rasmussen, C.
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