Pages that link to "Item:Q99261"

The following pages link to Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models (Q99261):

Displaying 37 items.

• Weakly Informative Reparameterizations for Location-Scale Mixtures (Q3391164) (← links)
• Spatial modeling of brain connectivity data via latent distance models with nodes clustering (Q4970244) (← links)
• Bayesian MISE convergence rates of Polya urn based density estimators: asymptotic comparisons and choice of prior parameters (Q4987649) (← links)
• Singularity Structures and Impacts on Parameter Estimation in Finite Mixtures of Distributions (Q5025768) (← links)
• (Q5053231) (← links)
• Approximate Bayesian computation for finite mixture models (Q5065237) (← links)
• Forecasting exchange rates using asymmetric losses: A Bayesian approach (Q5068088) (← links)
• Estimation and Selection for High-Order Markov Chains with Bayesian Mixture Transition Distribution Models (Q5083359) (← links)
• Robust Clustering With Subpopulation-Specific Deviations (Q5130594) (← links)
• Effect fusion using model-based clustering (Q5142203) (← links)
• Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions (Q5208053) (← links)
• (Q5214202) (← links)
• Probabilistic Community Detection With Unknown Number of Communities (Q5231515) (← links)
• Variable selection in finite mixture of generalized estimating equations (Q5866154) (← links)
• Estimation and selection for the latent block model on categorical data (Q5963820) (← links)
• On strong identifiability and convergence rates of parameter estimation in finite mixtures (Q5965324) (← links)
• Bayesian Factor Analysis for Inference on Interactions (Q6044639) (← links)
• Optimal estimation of high-dimensional Gaussian location mixtures (Q6046303) (← links)
• A Bayesian partial membership model for multiple exposures with uncertain group memberships (Q6050913) (← links)
• A Bayesian panel vector autoregression to analyze the impact of climate shocks on high-income economies (Q6104139) (← links)
• Finite mixtures of ERGMs for modeling ensembles of networks (Q6121980) (← links)
• A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging (Q6138589) (← links)
• A data-driven reversible jump for estimating a finite mixture of regression models (Q6169919) (← links)
• Bayesian inference for an unknown number of attributes in restricted latent class models (Q6175693) (← links)
• Mixture copulas with discrete margins and their application to imbalanced data (Q6204708) (← links)
• Mixture modeling with normalizing flows for spherical density estimation (Q6552950) (← links)
• Joint clustering multiple longitudinal features: a comparison of methods and software packages with practical guidance (Q6560555) (← links)
• Flexible regularized estimation in high-dimensional mixed membership models (Q6561268) (← links)
• Finite-dimensional Discrete Random Structures and Bayesian Clustering (Q6567888) (← links)
• An enriched mixture model for functional clustering (Q6581478) (← links)
• A diffusion process perspective on posterior contraction rates for parameters (Q6583523) (← links)
• Bayesian consensus clustering for multivariate longitudinal data (Q6622220) (← links)
• Bayesian Semiparametric Local Clustering of Multiple Time Series Data (Q6631206) (← links)
• Combinatorial mixtures of multiparameter distributions: an application to bivariate data (Q6636125) (← links)
• Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data (Q6637467) (← links)
• Bayesian mixture models (in)consistency for the number of clusters (Q6641033) (← links)
• Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses (Q6665519) (← links)