Pages that link to "Item:Q423105"

The following pages link to A tutorial on Bayesian nonparametric models (Q423105):

Displaying 36 items.

• The infinite Student's \(t\)-factor mixture analyzer for robust clustering and classification (Q454421) (← links)
• Introduction to the special issue on Bayesian nonparametrics (Q518615) (← links)
• A Bayesian nonparametric model for multi-label learning (Q682387) (← links)
• Inferring the number of attributes for the exploratory DINA model (Q823856) (← links)
• Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models (Q830563) (← links)
• Network structure exploration in networks with node attributes (Q1619264) (← links)
• A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions (Q1735988) (← links)
• Desirable properties of Bayesian models in perceptual psychology. A discussion of distribution families closed under multiplication (Q1736020) (← links)
• Bayesian nonparametric modeling and the ubiquitous Ewens sampling formula (Q1790311) (← links)
• Nonnegative Bayesian nonparametric factor models with completely random measures (Q2058880) (← links)
• Bayesian testing for exogenous partition structures in stochastic block models (Q2121702) (← links)
• Clustering and the efficient use of cognitive resources (Q2165618) (← links)
• Algebraic aspects of Bayesian modeling in psychology (Q2176447) (← links)
• Calibrating generative models: the probabilistic Chomsky-Schützenberger hierarchy (Q2177476) (← links)
• Bayesian nonparametric priors for hidden Markov random fields (Q2195846) (← links)
• A Bayesian perspective of statistical machine learning for big data (Q2203387) (← links)
• A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation (Q2255951) (← links)
• A new Dirichlet process for mining dynamic patterns in functional data (Q2293195) (← links)
• Reliable clustering of Bernoulli mixture models (Q2295043) (← links)
• Geometric sensitivity measures for Bayesian nonparametric density estimation models (Q2316997) (← links)
• Cooperative hierarchical Dirichlet processes: superposition vs. maximization (Q2321287) (← links)
• Estimating the cognitive diagnosis \(Q\) matrix with expert knowledge: application to the fraction-subtraction dataset (Q2331166) (← links)
• A tutorial on Dirichlet process mixture modeling (Q2332845) (← links)
• Central limit theorems for an Indian buffet model with random weights (Q2341623) (← links)
• A cognitive latent variable model for the simultaneous analysis of behavioral and personality data (Q2513828) (← links)
• A Bayesian nonparametric mixture model for studying universal patterns in color naming (Q2663825) (← links)
• CrossCat: a fully Bayesian nonparametric method for analyzing heterogeneous, high dimensional data (Q2834458) (← links)
• Bayesian non-parametrics and the probabilistic approach to modelling (Q2955477) (← links)
• Hyperparameter and model selection for nonparametric Bayes problems via Radon-Nikodym derivatives (Q3223856) (← links)
• Bayesian Estimation for the Markov-Modulated Diffusion Risk Model (Q3296428) (← links)
• Network structure exploration via Bayesian nonparametric models (Q3302111) (← links)
• A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images (Q5266394) (← links)
• Topic model for graph mining based on hierarchical Dirichlet process (Q5880028) (← links)
• Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization (Q6079078) (← links)
• Jointly modeling and simultaneously discovering topics and clusters in text corpora using word vectors (Q6086262) (← links)
• Multiscale Modeling of Metal-Ceramic Spatially Tailored Materials via Gaussian Process Regression and Peridynamics (Q6173029) (← links)