Results 91 to 100 of about 123,391 (326)
Detecting Spatial Clusters via a Mixture of Dirichlet Processes
Journal of Probability and Statistics, 2018 We proposed an approach that has the ability to detect spatial clusters with skewed or irregular distributions. A mixture of Dirichlet processes (DP) was used to describe spatial distribution patterns.
Meredith A. Ray +2 more
doaj +1 more source
On the posterior distribution of classes of random means [PDF]
The study of properties of mean functionals of random probability measures is an important area of research in the theory of Bayesian nonparametric statistics.
Antonio Lijoi +2 more
core
Generalized Rank Dirichlet distributions
Statistics & Probability LettersWe study a new parametric family of distributions on the ordered simplex $\nabla^{d-1} = \{y \in \mathbb{R}^d: y_1 \geq \dots \geq y_d \geq 0, \sum_{k=1}^d y_k = 1\}$, which we call Generalized Rank Dirichlet (GRD) distributions. Their density is proportional to $\prod_{k=1}^d y_k^{a_k-1}$ for a parameter $a = (a_1,\dots,a_d) \in \mathbb{R}^d ...
openaire +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Sustainability reports (SRs) are widely criticized for vague disclosures and selective emphasis on positive outcomes, yet systematic research on two core SR challenges remains limited: materiality (whether disclosed content is relevant) and balance (whether both achievements and challenges are reported).
Mahsa Mohammadrezaei +1 more
wiley +1 more source
Distribution of the LR criterion Up,m,n as a marginal distribution of a generalized Dirichlet model
Statistica, 2013 The density of the likelihood ratio criterion Up,m,n is expressed in terms of a marginal density of a generalized Dirichlet model having a specific set of parameters.
Seemon Thomas, Alex Thannippara
doaj +1 more source
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.
Matteo Ruggiero +2 more
core
Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening [PDF]
, 2022 Teresa Araújo +2 more
openalex +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study explores how circular economy (CE) principles are incorporated in construction‐related policy roadmaps worldwide, addressing the growing need for effective resource strategies in a highly material‐intensive sector. National strategic CE documents from 57 countries were analyzed using natural language processing techniques, and then ...
Aidana Tleuken +5 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 more
wiley +1 more source
Bayesian estimation of the orthogonal decomposition of a contingency table
Austrian Journal of Statistics, 2016 In a multinomial sampling, contingency tables can be parametrized by probabilities of each cell. These probabilities constitute the joint probability function of two or more discrete random variables. These probability tables have been previously studied
M.I. Ortego, J. J. Egozcue
doaj +1 more source