Pages that link to "Item:Q2920281"
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The following pages link to Hybrid Dirichlet mixture models for functional data (Q2920281):
Displaying 47 items.
- Dynamic density estimation with diffusive Dirichlet mixtures (Q265276) (← links)
- Predictions based on the clustering of heterogeneous functions via shape and subject-specific covariates (Q273602) (← links)
- On the stick-breaking representation of \(\sigma\)-stable Poisson-Kingman models (Q405323) (← links)
- Predictive construction of priors in Bayesian nonparametrics (Q447985) (← links)
- Bayesian nonparametric modeling for functional analysis of variance (Q457260) (← links)
- Bayesian clustering of functional data using local features (Q516439) (← links)
- Spatial product partition models (Q516459) (← links)
- Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling (Q546107) (← links)
- Application of Dirichlet mixture of normals in growth curve models (Q634834) (← links)
- Posterior simulation across nonparametric models for functional clustering (Q641799) (← links)
- Posterior convergence for Bayesian functional linear regression (Q739583) (← links)
- Mixtures of spatial spline regressions for clustering and classification (Q1660190) (← links)
- Nonparametric Bayesian inference in applications (Q1663603) (← links)
- Mixture inner product spaces and their application to functional data analysis (Q1747743) (← links)
- A Bayesian nonparametric approach to modeling market share dynamics (Q1940749) (← links)
- Convergence of latent mixing measures in finite and infinite mixture models (Q1952455) (← links)
- A partition Dirichlet process model for functional data analysis (Q2040661) (← links)
- Centered partition processes: informative priors for clustering (with discussion) (Q2057318) (← links)
- A two-stage Bayesian semiparametric model for novelty detection with robust prior information (Q2058768) (← links)
- The dependent Dirichlet process and related models (Q2075788) (← links)
- Optimal Bayesian smoothing of functional observations over a large graph (Q2078537) (← links)
- Dirichlet process and its developments: a survey (Q2080929) (← links)
- A scalable Bayesian nonparametric model for large spatio-temporal data (Q2184402) (← links)
- On a generalized Chu-Vandermonde identity (Q2276423) (← links)
- A nonparametric spatial test to identify factors that shape a microbiome (Q2291523) (← links)
- An area-specific stick breaking process for spatial data (Q2633423) (← links)
- Multivariate functional data modeling with time-varying clustering (Q2666063) (← links)
- Spatial Bayesian Nonparametric Methods (Q2800204) (← links)
- Spatial Boundary Detection for Areal Counts (Q2800207) (← links)
- The Dirichlet labeling process for clustering functional data (Q3094083) (← links)
- Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors (Q3183211) (← links)
- Functional mixture regression (Q3303682) (← links)
- Multi-Armed Bandit for Species Discovery: A Bayesian Nonparametric Approach (Q4690972) (← links)
- Bayesian Latent Factor Regression for Functional and Longitudinal Data (Q4911929) (← links)
- Enriched Stick-Breaking Processes for Functional Data (Q4975406) (← links)
- Robust Clustering With Subpopulation-Specific Deviations (Q5130594) (← links)
- Generalized spatial stick-breaking processes (Q5867488) (← links)
- Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults (Q6044618) (← links)
- Functional clustering methods for binary longitudinal data with temporal heterogeneity (Q6170537) (← links)
- Biclustering of medical monitoring data using a nonparametric hierarchical Bayesian model (Q6541567) (← links)
- Finite-dimensional Discrete Random Structures and Bayesian Clustering (Q6567888) (← links)
- Entropy regularization in probabilistic clustering (Q6580619) (← links)
- An enriched mixture model for functional clustering (Q6581478) (← links)
- Parameter clustering in Bayesian functional principal component analysis of neuroscientific data (Q6627875) (← links)
- Bayesian Semiparametric Local Clustering of Multiple Time Series Data (Q6631206) (← links)
- Spectral Clustering, Bayesian Spanning Forest, and Forest Process (Q6631712) (← links)
- A Bayesian nonparametric approach for clustering functional trajectories over time (Q6657827) (← links)
