PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes
Journal of Statistical Software, 2015 PReMiuM is a recently developed R package for Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non- parametrically linking a response vector to covariate data through cluster membership ...
Silvia Liverani +4 more
doaj +1 more source
Distributions of Functionals of the two Parameter Poisson-Dirichlet Process [PDF]
The present paper provides exact expressions for the probability distribution of linear functionals of the two–parameter Poisson–Dirichlet process. Distributional results that follow from the application of an inversion formula for a (generalized) Cauchy–
Antonio Lijoi +2 more
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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
pyrichlet: A Python Package for Density Estimation and Clustering Using Gaussian Mixture Models
Journal of Statistical SoftwareBayesian nonparametric models have proven to be successful tools for clustering and density estimation. While there exists a nourished ecosystem of implementations in R, for Python there are only a few. Here we develop a Python package called pyrichlet,
Fidel Selva +2 more
doaj +1 more source
Dirichlet process mixture models for the analysis of repeated attempt designs. [PDF]
Biometrics, 2023 Daniels MJ, Lee M, Feng W.
europepmc +1 more source
Dynamic clustering via asymptotics of the dependent Dirichlet process mixture [PDF]
, 2013 This paper presents a novel algorithm, based upon the dependent Dirichlet process mixture model (DDPMM), for clustering batch-sequential data containing an unknown number of evolving clusters.
Carin, Lawrence +8 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study investigates how companies across different industries emphasize themes within Integrated Reporting (IR), as promoted by the International Integrated Reporting Council (IIRC). As IR gains relevance for advancing Corporate Social Responsibility (CSR) and Environmental, Social, and Governance (ESG) disclosure, understanding sectoral ...
Francesca Culasso +3 more
wiley +1 more source
Coupling Fluid Neutrals to Gyrokinetic Plasma Dynamics for Edge and SOL Turbulence Simulations
Contributions to Plasma Physics, EarlyView.ABSTRACT Accurate modeling of turbulent transport in magnetic confinement fusion devices requires extending first‐principles gyrokinetic simulations from the core to the edge and scrape‐off layer (SOL), where additional physics—particularly plasma–neutrals interactions—must be included.
Sabine Ogier‐Collin +3 more
wiley +1 more source
mSigHdp: hierarchical Dirichlet process mixture modeling for mutational signature discovery. [PDF]
NAR Genom Bioinform, 2023 Liu M, Wu Y, Jiang N, Boot A, Rozen SG.
europepmc +1 more source
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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