Pages that link to "Item:Q2354670"
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The following pages link to Bayesian nonparametric data analysis (Q2354670):
Displaying 50 items.
- Calibrating covariate informed product partition models (Q65541) (← links)
- Default probability estimation via pair copula constructions (Q320930) (← links)
- Theory and computations for the Dirichlet process and related models: an overview (Q505261) (← links)
- Computationally tractable approximate and smoothed Polya trees (Q517373) (← links)
- Bayesian temporal density estimation with autoregressive species sampling models (Q1657858) (← links)
- Nonparametric Bayesian inference in applications (Q1663603) (← links)
- Discussion on the paper by Peter Müller, Fernando A. Quintana, and Garritt L. Page (Q1663606) (← links)
- Survival analysis via hierarchically dependent mixture hazards (Q2039791) (← links)
- Measuring dependence in the Wasserstein distance for Bayesian nonparametric models (Q2054539) (← links)
- Predictive inference with Fleming-Viot-driven dependent Dirichlet processes (Q2057319) (← links)
- Updating variational Bayes: fast sequential posterior inference (Q2066743) (← links)
- The dependent Dirichlet process and related models (Q2075788) (← links)
- Nonparametric Bayesian functional meta-regression: applications in environmental epidemiology (Q2084403) (← links)
- Adversarial risk analysis as a decomposition method for structured expert judgement modelling (Q2086353) (← links)
- Dependent Bayesian nonparametric modeling of compositional data using random Bernstein polynomials (Q2137796) (← links)
- Accelerated parallel non-conjugate sampling for Bayesian non-parametric models (Q2152557) (← links)
- Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels (Q2157498) (← links)
- Random distributions via sequential quantile array (Q2180073) (← links)
- Approximation of Bayesian models for time-to-event data (Q2199709) (← links)
- Discovering interactions using covariate informed random partition models (Q2233126) (← links)
- A semiparametric modeling approach using Bayesian additive regression trees with an application to evaluate heterogeneous treatment effects (Q2281248) (← links)
- Reliable clustering of Bernoulli mixture models (Q2295043) (← links)
- Semiparametric multivariate and multiple change-point modeling (Q2316981) (← links)
- Geometric sensitivity measures for Bayesian nonparametric density estimation models (Q2316997) (← links)
- Bayesian model-based clustering for longitudinal ordinal data (Q2319476) (← links)
- A tutorial on Dirichlet process mixture modeling (Q2332845) (← links)
- Bayesian prediction with multiple-samples information (Q2400811) (← links)
- On functional central limit theorems of Bayesian nonparametric priors (Q2404622) (← links)
- Nonparametric Bayesian volatility estimation for gamma-driven stochastic differential equations (Q2676916) (← links)
- Bayesian Nonparametric Models (Q2800187) (← links)
- Bayesian Spatial Survival Models (Q2800198) (← links)
- Bayes Classification for Nonstationary Patterns (Q2971986) (← links)
- Demand Models With Random Partitions (Q3304831) (← links)
- Bayesian semiparametric latent variable model with DP prior for joint analysis: Implementation with nimble (Q3386457) (← links)
- A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes (Q4559706) (← links)
- A nonparametric bayesian approach to analysis of drug dependence data (Q4843751) (← links)
- Analysis of incomplete data under non-random mechanisms: bayesian inference (Q4844115) (← links)
- Density regression using repulsive distributions (Q4960732) (← links)
- A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data (Q4962423) (← links)
- Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data (Q5006012) (← links)
- On the use of Markovian stick-breaking priors (Q5024705) (← links)
- On the small sample behavior of Dirichlet process mixture models for data supported on compact intervals (Q5082570) (← links)
- Dependent Modeling of Temporal Sequences of Random Partitions (Q5084459) (← links)
- On metrizing vague convergence of random measures with applications on Bayesian nonparametric models (Q5147574) (← links)
- Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data (Q5229899) (← links)
- Robustifying Bayesian nonparametric mixtures for count data (Q5347416) (← links)
- Stationarity and Inference in Multistate Promoter Models of Stochastic Gene Expression via Stick-Breaking Measures (Q5870381) (← links)
- Semiparametric Bayesian analysis of high-dimensional censored outcome data (Q5880179) (← links)
- A Bayesian nonparametric model for zero‐inflated outcomes: Prediction, clustering, and causal estimation (Q6047796) (← links)
- Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation (Q6067164) (← links)
