Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes
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Publication:6179126
DOI10.1214/22-aoas1717OpenAlexW4386513804MaRDI QIDQ6179126
Stefano Favaro, Maria De Iorio, Lifeng Ye, Alessandra Guglielmi
Publication date: 16 January 2024
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/22-aoas1717
Bayesian nonparametricsautoregressive modelsparticle Markov chain Monte Carlomixture modelingword embeddingsdependent Dirichlet processesgender stereotypesdynamic density estimation and clustering
Cites Work
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- Posterior consistency in conditional distribution estimation
- Beta-product dependent Pitman-Yor processes for Bayesian inference
- Stick-breaking autoregressive processes
- On a class of Bayesian nonparametric estimates: I. Density estimates
- A simple class of Bayesian nonparametric autoregression models
- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Ferguson distributions via Polya urn schemes
- Bayesian cluster analysis: point estimation and credible balls (with discussion)
- A time dependent Bayesian nonparametric model for air quality analysis
- Modeling for seasonal marked point processes: an analysis of evolving hurricane occurrences
- Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity
- Beta regression for time series analysis of bounded data, with application to Canada Google\(^{\circledR}\) Flu Trends
- A Bayesian analysis of some nonparametric problems
- On the support of MacEachern's dependent Dirichlet processes and extensions
- Nonparametric Bayesian models through probit stick-breaking processes
- Bayesian dynamic density estimation
- Kernel stick-breaking processes
- Bayesian cluster analysis
- Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures
- Particle Markov Chain Monte Carlo Methods
- A Time‐Series DDP for Functional Proteomics Profiles
- Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California
- Dependent Modeling of Temporal Sequences of Random Partitions
- Latent Stick-Breaking Processes
- Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime
- Bayesian Density Regression
- Order-Based Dependent Dirichlet Processes