Pages that link to "Item:Q5381090"
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The following pages link to Compound Random Measures and their Use in Bayesian Non-Parametrics (Q5381090):
Displaying 28 items.
- Bayesian inference with dependent normalized completely random measures (Q396004) (← links)
- A class of measure-valued Markov chains and Bayesian nonparametrics (Q442087) (← links)
- Modelling and computation using NCoRM mixtures for density regression (Q1631587) (← links)
- Integrability conditions for compound random measures (Q1650288) (← links)
- Discussion of ``Nonparametric Bayesian inference in applications'': Bayesian nonparametric methods in econometrics (Q1663604) (← links)
- Clustering dynamics in a class of normalised generalised gamma dependent priors (Q1695756) (← links)
- Compound vectors of subordinators and their associated positive Lévy copulas (Q2022558) (← links)
- A Bayesian hierarchical model for evaluating forensic footwear evidence (Q2044268) (← links)
- Sparse networks with core-periphery structure (Q2044362) (← links)
- Measuring dependence in the Wasserstein distance for Bayesian nonparametric models (Q2054539) (← links)
- Nonnegative Bayesian nonparametric factor models with completely random measures (Q2058880) (← links)
- Thinned completely random measures with applications in competing risks models (Q2073231) (← links)
- The dependent Dirichlet process and related models (Q2075788) (← links)
- Transport distances on random vectors of measures: recent advances in Bayesian nonparametrics (Q2080164) (← links)
- A hierarchical dependent Dirichlet process prior for modelling bird migration patterns in the UK (Q2179980) (← links)
- Beta-binomial stick-breaking non-parametric prior (Q2180069) (← links)
- Sampling hierarchies of discrete random structures (Q2209723) (← links)
- Latent nested nonparametric priors (with discussion) (Q2290717) (← links)
- Bayesian prediction with multiple-samples information (Q2400811) (← links)
- Core-periphery structure in networks: a statistical exposition (Q2693378) (← links)
- Correlated Random Measures (Q4690969) (← links)
- Decompounding discrete distributions: A nonparametric Bayesian approach (Q5118466) (← links)
- Comparing Distributions by using Dependent Normalized Random-Measure Mixtures (Q5743162) (← links)
- Survival Regression Models With Dependent Bayesian Nonparametric Priors (Q5881154) (← links)
- Bayesian modeling via discrete nonparametric priors (Q6579473) (← links)
- A note on the dependence structure of hierarchical completely random measures (Q6616216) (← links)
- A Wasserstein Index of Dependence for Random Measures (Q6631737) (← links)
- A unified approach to hierarchical random measures (Q6648801) (← links)
