Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy. [PDF]
Cardoso P +5 more
europepmc +1 more source
Survey on Compositional 3D Indoor Scene Generation
This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam +7 more
wiley +1 more source
Abstract Firm innovation and corporate social responsibility (CSR) are key strategic considerations that shape a firm's competitiveness and sustainability. However, studies exploring the relationship between the two are heterogeneous and sometimes obtain contradictory results, making it difficult to draw clear conclusions.
Daniel Alonso‐Martínez +2 more
wiley +1 more source
Taking stock of gendered social networks in organizations and careers: A literature review
Abstract Ample research has explored men's and women's social networks, with the aim to link differences in structural properties of networks and networking behaviors to varying career outcomes. Despite the diverse contexts and methods, representing many aspects and nuances of the role played by gender in organizations, much of contemporary research ...
Sofiya Voytiv +4 more
wiley +1 more source
Multimodal brain-tumor segmentation based on Dirichlet process mixture model with anisotropic diffusion and Markov random field prior. [PDF]
Lu Y, Jiang J, Yang W, Feng Q, Chen W.
europepmc +1 more source
ABSTRACT Artisanal gillnet fisheries can concentrate prey and provide incidental food subsidies to marine predators, but their effects on early‐life foraging behavior and demography remain poorly resolved. The Alvarado bottlenose dolphin population that lives off the coast of Veracruz, Mexico, is well known for having chronic, frequent, and recurring ...
Eduardo Morteo +5 more
wiley +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
The Narrative Continent: Discursive Recognition and the EU's Technological Actorness
Abstract Recognition in global politics is not only earned through institutions or capabilities; it is narrated into being. This article investigates how the European Union (EU) is framed as a technological actor in global discourse, focusing on the symbolic dynamics of discursive recognition.
Mahmoud Javadi
wiley +1 more source
P‐T Uncertainty in Subsolidus Metamorphic Systems: Sources, Patterns and Controls
ABSTRACT Phase equilibrium modelling of metamorphic rocks is subject to multiple, superimposed sources of uncertainty that affect pressure–temperature (P$$ P $$‐T$$ T $$) estimates, making it difficult to independently distinguish and evaluate the contribution of each source.
I. P. Cawood, T. Mackay‐Champion
wiley +1 more source
Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture
We extend the asymmetric, stochastic, volatility model by modeling the return-volatility distribution nonparametrically. The novelty is modeling this distribution with an infinite mixture of Normals, where the mixture unknowns have a Dirichlet process ...
Maheu, John M., Jensen, Mark J.
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