Pages that link to "Item:Q2880950"
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The following pages link to Nonlinear models using Dirichlet process mixtures (Q2880950):
Displaying 41 items.
- Customized training with an application to mass spectrometric imaging of cancer tissue (Q262341) (← links)
- A fully nonparametric modeling approach to binary regression (Q273642) (← links)
- Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks (Q309544) (← links)
- Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models (Q340712) (← links)
- A tutorial on Bayesian nonparametric models (Q423105) (← links)
- Nonparametric Bayes classification and hypothesis testing on manifolds (Q444946) (← links)
- Generalized smooth finite mixtures (Q528085) (← links)
- Bayesian mixture modeling for multivariate conditional distributions (Q777852) (← links)
- A Bayesian nonparametric model and its application in insurance loss prediction (Q784420) (← links)
- Matrix-variate Dirichlet process priors with applications (Q899020) (← links)
- Random partition models with regression on covariates (Q984631) (← links)
- Nonparametric Bayesian modelling using skewed Dirichlet processes (Q1007507) (← links)
- Infinite max-margin factor analysis via data augmentation (Q1669779) (← links)
- An intelligent Parkinson's disease diagnostic system based on a chaotic bacterial foraging optimization enhanced fuzzy KNN approach (Q1734385) (← links)
- Theory of optimal Bayesian feature filtering (Q2057352) (← links)
- Brain waves analysis via a non-parametric Bayesian mixture of autoregressive kernels (Q2157498) (← links)
- Semiparametric Bayesian Markov analysis of personalized benefit-risk assessment (Q2194462) (← links)
- Supervised learning via smoothed Polya trees (Q2303053) (← links)
- A flexible probabilistic framework for large-margin mixture of experts (Q2320568) (← links)
- An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach (Q2330194) (← links)
- On non-negative modeling with CARMA processes (Q2633848) (← links)
- Flexible link functions in nonparametric binary regression with Gaussian process priors (Q2827177) (← links)
- A predictive study of Dirichlet process mixture models for curve fitting (Q2922155) (← links)
- A Recursive Local Polynomial Approximation Method Using Dirichlet Clouds and Radial Basis Functions (Q3186111) (← links)
- Prediction and Inference With Missing Data in Patient Alert Systems (Q3304829) (← links)
- Bayesian Nonparametric Modeling for Multivariate Ordinal Regression (Q3391133) (← links)
- A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates (Q3391439) (← links)
- Dirichlet Processes in Nonlinear Mixed Effects Models (Q3577178) (← links)
- A Bayesian nonparametric method for model evaluation: application to genetic studies (Q3619666) (← links)
- Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures (Q4567605) (← links)
- A predictive framework for modeling healthcare data with evolving clinical interventions (Q4970004) (← links)
- A pooled Bayes test of independence for sparse contingency tables from small areas (Q5107364) (← links)
- Bayesian density regression for discrete outcomes (Q5117661) (← links)
- Semiparametric Bayesian hierarchical models for heterogeneous population in nonlinear mixed effect model: application to gastric emptying studies (Q5130563) (← links)
- A Bayesian approach to (online) transfer learning: theory and algorithms (Q6066772) (← links)
- Colombian women's life patterns: a multivariate density regression approach (Q6121681) (← links)
- Bayesian nonparametric density autoregression with lag selection (Q6121984) (← links)
- Bayesian consensus clustering for multivariate longitudinal data (Q6622220) (← links)
- A Bayesian nonparametric causal inference model for synthesizing randomized clinical trial and real-world evidence (Q6627147) (← links)
- A practical introduction to Bayesian estimation of causal effects: parametric and nonparametric approaches (Q6627906) (← links)
- Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data (Q6637467) (← links)
