The following pages link to The Nested Dirichlet Process (Q3069849):
Displaying 50 items.
- A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data (Q312903) (← links)
- Nonparametric multi-level clustering of human epilepsy seizures (Q312906) (← links)
- Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes (Q400670) (← links)
- Beta-product dependent Pitman-Yor processes for Bayesian inference (Q469570) (← links)
- Functional clustering in nested designs: modeling variability in reproductive epidemiology studies (Q483995) (← links)
- Theory and computations for the Dirichlet process and related models: an overview (Q505261) (← links)
- Vectors of two-parameter Poisson-Dirichlet processes (Q631612) (← links)
- A sticky HDP-HMM with application to speaker diarization (Q641153) (← links)
- Posterior simulation across nonparametric models for functional clustering (Q641799) (← links)
- Bayesian local influence for survival models (Q746090) (← links)
- Sparse Bayesian hierarchical modeling of high-dimensional clustering problems (Q972898) (← links)
- A Dirichlet process mixture of hidden Markov models for protein structure prediction (Q993267) (← links)
- A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions (Q1663310) (← links)
- Nonparametric Bayesian inference in applications (Q1663603) (← links)
- Graph-induced restricted Boltzmann machines for document modeling (Q1750503) (← links)
- Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data (Q1752012) (← links)
- Mixture modeling on related samples by \(\psi\)-stick breaking and kernel perturbation (Q1757668) (← links)
- Adaptive-modal Bayesian nonparametric regression (Q1950891) (← links)
- A vector of Dirichlet processes (Q1951103) (← links)
- Convergence of latent mixing measures in finite and infinite mixture models (Q1952455) (← links)
- Infinite factorization of multiple non-parametric views (Q1959574) (← links)
- On posterior contraction of parameters and interpretability in Bayesian mixture modeling (Q1983595) (← links)
- Thinned completely random measures with applications in competing risks models (Q2073231) (← links)
- The dependent Dirichlet process and related models (Q2075788) (← links)
- Dirichlet process and its developments: a survey (Q2080929) (← links)
- Convergence of de Finetti's mixing measure in latent structure models for observed exchangeable sequences (Q2091819) (← links)
- A new proof of the stick-breaking representation of Dirichlet processes (Q2131909) (← links)
- Spatial distribution of the earthquake in mainland China (Q2162160) (← links)
- Semiparametric Bayesian Markov analysis of personalized benefit-risk assessment (Q2194462) (← links)
- Latent nested nonparametric priors (with discussion) (Q2290717) (← links)
- Efficient and flexible model-based clustering of jumps in diffusion processes (Q2325322) (← links)
- Bayesian nonparametric hierarchical modeling for multiple membership data in grouped attendance interventions (Q2443168) (← links)
- Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes (Q2686034) (← links)
- Bayesian Nonparametric Biostatistics (Q2800188) (← links)
- Modeling the Association Between Clusters of SNPs and Disease Responses (Q2800192) (← links)
- A Latent Source Model to Detect Multiple Spatial Clusters With Application in a Mobile Sensor Network for Surveillance of Nuclear Materials (Q2861805) (← links)
- On-Line Learning for the Infinite Hidden Markov Model (Q3087571) (← links)
- Clustering distributions with the marginalized nested Dirichlet process (Q3119879) (← links)
- Bayesian clustering of DNA sequences using Markov chains and a stochastic partition model (Q3191810) (← links)
- Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome (Q3465746) (← links)
- A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data With Application in Geriatric Care Assessment (Q4916926) (← links)
- Enriched Stick-Breaking Processes for Functional Data (Q4975406) (← links)
- Grouped Heterogeneous Mixture Modeling for Clustered Data (Q4999176) (← links)
- Nonparametric Bayesian Two-Level Clustering for Subject-Level Single-Cell Expression Data (Q5041336) (← links)
- Robust Clustering With Subpopulation-Specific Deviations (Q5130594) (← links)
- Revealing Subgroup Structure in Ranked Data Using a Bayesian WAND (Q5146041) (← links)
- (Q5159417) (← links)
- Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions (Q5208053) (← links)
- Information-Maximization Clustering Based on Squared-Loss Mutual Information (Q5378312) (← links)
- Bayesian semiparametric modeling of realized covariance matrices (Q5964748) (← links)
