Results 91 to 100 of about 11,564,802 (285)
ABSTRACT This study theorises and empirically tests performative purpose alignment theory (PPAT), which conceptualises corporate purpose as a performative artefact materialised through discursive and multimodal signals. To operationalise this, we introduced the SDG–Purpose Alignment Index (SPAI), a computational construct that quantifies the thematic ...
Augustine Okeke, Ifeanyi Ugbebor
wiley +1 more source
Sampling the Dirichlet Mixture Model with Slices [PDF]
We provide a new approach to the sampling of the well known mixture of Dirichlet process model. Recent attention has focused on retention of the random distribution function in the model, but sampling algorithms have then suffered from the countably ...
Stephen G. Walker
core
Countable representation for infinite-dimensional diffusions derived from the two parameter Poisson Dirichlet process [PDF]
This paper provides a countable representation for a class of infinite-dimensional diffusions which extends the infinitely-many-neutral-alleles model and is related to the two-parameter Poisson-Dirichlet process. By means of Gibbs sampling procedures, we
Ruggiero, Matteo +3 more
core +1 more source
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
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
Model‐based clustering reveals patterns in central place use of a marine top predator
Satellite telemetry data are commonly used to quantify habitat selection, examine animal movements, and delineate home ranges. These data also contain valuable information concerning dens, nests, roosts, and other central places that are often associated
Brian M. Brost +2 more
doaj +1 more source
Dirichlet process multi-state mixture models
A Bayesian nonparametric framework is introduced for modeling discretely observed trajectories of continuous-time multi-state processes. By employing Dirichlet Process Mixtures with Markov, inhomogeneous Markov, and semi-Markov kernels, the approach flexibly captures unobserved heterogeneity in the process dynamics.
Rosario Barone, Andrea Tancredi
openaire +4 more sources
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
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
Truncated Poisson-Dirichlet approximation for Dirichlet process hierarchical models
The Dirichlet process was introduced by Ferguson in 1973 to use with Bayesian nonparametric inference problems. A lot of work has been done based on the Dirichlet process, making it the most fundamental prior in Bayesian nonparametric statistics.
Dassios, Angelos, Zhang, Junyi
core +3 more sources

