Results 81 to 90 of about 26,331 (262)
BANOVA: An R Package for Hierarchical Bayesian ANOVA
Journal of Statistical Software, 2017 In this paper, we develop generalized hierarchical Bayesian ANOVA, to assist experimental researchers in the behavioral and social sciences in the analysis of experiments with within- and between-subjects factors.
Chen Dong, Michel Wedel
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Hierarchical Bayes small area estimation for county-level health prevalence to having a personal doctor. [PDF]
Stat Methods Appt, 2022 Andreea L E +3 more
europepmc +1 more source
British Educational Research Journal, EarlyView.Abstract In this paper, we explore how neurodivergent ways of being in early education are often gendered. The intersectionalities of gender and neurodivergence often lead to fixed expectations that perpetuate binary interpretations, pathologisations, missed diagnoses and a lack of curated support.
Ruth Churchill Dower, Hannah Hogarth
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Complex Firms, Controversial Outcomes: Global Evidence on ESG Failures and Remedies
Business Strategy and the Environment, EarlyView.ABSTRACT We examine whether business complexity increases firms' exposure to negative environmental, social, and governance (ESG) outcomes, specifically ESG controversies, using a global panel of firms from 37 countries over the period 2002–2021.
Abongeh A. Tunyi +3 more
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Business Strategy and the Environment, EarlyView.ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili +3 more
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Business Strategy and the Environment, EarlyView.ABSTRACT The transition toward circular fashion is widely promoted as a pathway to sustainable development, yet consumer resistance continues to hinder the adoption of circular business models across resale, rental, repair, and remaking. Existing research identifies numerous consumer barriers, but insights remain fragmented, model‐specific, and largely
Sophie Rasfeld
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Wellcome Open Research, 2017 Modeling bifurcations in single-cell transcriptomics data has become an increasingly popular field of research. Several methods have been proposed to infer bifurcation structure from such data, but all rely on heuristic non-probabilistic inference.
Kieran R Campbell, Christopher Yau
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Fueling Tomorrow: Scenario Planning for the Future of Gas Stations
Business Strategy and the Environment, EarlyView.ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
Joao Gabriel Rosa +2 more
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Uncertainty in perception and the Hierarchical Gaussian Filter
Frontiers in Human Neuroscience, 2014 In its full sense, perception rests on an agent’s model of how its sensory input comes about and the inferences it draws based on this model. These inferences are necessarily uncertain.
Christoph Daniel Mathys +15 more
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Business Strategy and the Environment, EarlyView.ABSTRACT Corporate environmental communication has become an essential aspect of modern business practices, as stakeholders increasingly demand transparency and accountability regarding sustainability efforts. Within this context, we examine whether firms use environmental communication on X/Twitter to offset weaker relative environmental performance ...
Ivan Russo +3 more
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