Results 91 to 100 of about 23,712,988 (293)
Business Strategy and the Environment, EarlyView.ABSTRACT Social and environmental accounting provides accountability mechanisms through which organisations communicate their sustainability practices to stakeholders. However, the increasing volume, complexity and diversity of sustainability disclosures make manual content analysis both labour‐intensive and susceptible to subjectivity.
Tarek Rana +6 more
wiley +1 more source
Dirichlet process probit misclassification mixture model for misclassified binary data [PDF]
, 2021 Mislabelling or misclassification in binary data refers to incorrectly labelled responses and could arise due to problems in the labelling process or imperfect evidence for labelling.
Hu, Zhenzheng (Helen)
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Environmental sustainability and the broader Environmental, Social and Governance (ESG) agenda have become prominently proclaimed organisational priorities, yet their integration into core decision‐making remains uneven. While greenwashing research has largely focused on communication and disclosure, it has paid less attention to the internal ...
Olayiwola Oladiran +4 more
wiley +1 more source
Producing power-law distributions and damping word frequencies with two-stage language models [PDF]
, 2011 Standard statistical models of language fail to capture one of the most striking properties of natural languages: the power-law distribution in the frequencies of word tokens.
Johnson, Mark +2 more
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Bayesian correlated clustering to integrate multiple datasets [PDF]
, 2012 Motivation: The integration of multiple datasets remains a key challenge in systems biology and genomic medicine. Modern high-throughput technologies generate a broad array of different data types, providing distinct – but often complementary ...
Wild, David L. +4 more
core +1 more source
Canadian Journal of Statistics, EarlyView.Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Mitigating measurement error in misspecified small area models
Canadian Journal of Statistics, EarlyView.Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley +1 more source
Spike-and-Slab Dirichlet Process Mixture Models
Open Journal of Statistics, 2012 In this paper, Spike-and-Slab Dirichlet Process (SS-DP) priors are introduced and discussed for non-parametric Bayesian modeling and inference, especially in the mixture models context. Specifying a spike-and-slab base measure for DP priors combines the merits of Dirichlet process and spike-and-slab priors and serves as a flexible approach in Bayesian ...
Kai Cui, Wenshan Cui
openaire +2 more sources
A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation [PDF]
Financial time series analysis deals with the understanding of data collected on financial markets. Several parametric distribution models have been entertained for describing, estimating and predicting the dynamics of financial time series ...
Concepción Ausín +2 more
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