The following pages link to (Q3580559):
Displaying 28 items.
- Posterior contraction rates for deconvolution of Dirichlet-Laplace mixtures (Q259196) (← links)
- Posterior consistency in conditional distribution estimation (Q391574) (← links)
- The \(L_{1}\)-consistency of Dirichlet mixtures in multivariate Bayesian density estimation (Q604357) (← links)
- Adaptive nonparametric Bayesian inference using location-scale mixture priors (Q620549) (← links)
- Tractable Bayesian density regression via logit stick-breaking priors (Q826968) (← links)
- Posterior convergence rates of Dirichlet mixtures at smooth densities (Q995421) (← links)
- A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection (Q1659170) (← links)
- Posterior concentration rates for mixtures of normals in random design regression (Q1676779) (← links)
- A review of Bayesian asymptotics in general insurance applications (Q1707556) (← links)
- Posterior consistency of Dirichlet mixtures in density estimation (Q1807175) (← links)
- Posterior rates of convergence for Dirichlet mixtures of exponential power densities (Q1952186) (← links)
- Bayesian test of normality versus a Dirichlet process mixture alternative (Q2040662) (← links)
- Low information omnibus (LIO) priors for Dirichlet process mixture models (Q2316979) (← links)
- Posterior consistency for nonparametric hidden Markov models with finite state space (Q2340875) (← links)
- On posterior consistency of tail index for Bayesian kernel mixture models (Q2419667) (← links)
- Kullback Leibler property of kernel mixture priors in Bayesian density estimation (Q2426836) (← links)
- Bayesian nonparametric regression with varying residual density (Q2434133) (← links)
- Copula based factorization in Bayesian multivariate infinite mixture models (Q2443267) (← links)
- An adaptive truncation method for inference in Bayesian nonparametric models (Q2631376) (← links)
- Bayesian Nonparametric Biostatistics (Q2800188) (← links)
- Bayesian Nonparametric Nonproportional Hazards Survival Modeling (Q3183210) (← links)
- Compound Dirichlet Processes (Q3296430) (← links)
- Dirichlet process mixture models for insurance loss data (Q4583621) (← links)
- Non parametric Bayesian analysis of the two-sample problem with censoring (Q4606447) (← links)
- Rates for Bayesian Estimation of Location-Scale Mixtures of Super-Smooth Densities (Q5268840) (← links)
- A Flexible Bayesian Nonparametric Model for Predicting Future Insurance Claims (Q5379218) (← links)
- Particle learning for Bayesian semi-parametric stochastic volatility model (Q5860957) (← links)
- Bayesian semiparametric Markov switching stochastic volatility model (Q6574607) (← links)
