Pages that link to "Item:Q3011151"

The following pages link to Sparse Bayesian infinite factor models (Q3011151):

Displaying 50 items.

• Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces (Q63883) (← links)
• On the identifiability of Bayesian factor analytic models (Q113012) (← links)
• Sparse Bayesian time-varying covariance estimation in many dimensions (Q117775) (← links)
• Bayesian exploratory factor analysis (Q118626) (← links)
• Inferring food intake from multiple biomarkers using a latent variable model (Q132201) (← links)
• Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components (Q140405) (← links)
• Scaling it up: stochastic search structure learning in graphical models (Q273600) (← links)
• Order-invariant prior specification in Bayesian factor analysis (Q273834) (← links)
• Clustering South African households based on their asset status using latent variable models (Q400600) (← links)
• A note on the multiplicative gamma process (Q504501) (← links)
• Modeling associations among multivariate longitudinal categorical variables in survey data: a semiparametric Bayesian approach (Q692410) (← links)
• Inferring constructs of effective teaching from classroom observations: an application of Bayesian exploratory factor analysis without restrictions (Q902925) (← links)
• Variable selection using shrinkage priors (Q1658484) (← links)
• Dynamics \& sparsity in latent threshold factor models: a study in multivariate EEG signal processing (Q1705542) (← links)
• Bayesian nonparametric vector autoregressive models (Q1706488) (← links)
• Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification (Q1740344) (← links)
• Bayesian inference and testing of group differences in brain networks (Q1752001) (← links)
• Toward automated prior choice (Q1790383) (← links)
• Dynamic regression models for time-ordered functional data (Q2057327) (← links)
• Sparse factor model based on trend filtering (Q2070700) (← links)
• Bayesian multistudy factor analysis for high-throughput biological data (Q2078285) (← links)
• RNDClone: tumor subclone reconstruction based on integrating DNA and RNA sequence data (Q2078761) (← links)
• Region-referenced spectral power dynamics of EEG signals: a hierarchical modeling approach (Q2078794) (← links)
• Variational inference and sparsity in high-dimensional deep Gaussian mixture models (Q2080343) (← links)
• A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer (Q2080717) (← links)
• Parsimonious Bayesian factor analysis for modelling latent structures in spectroscopy data (Q2080755) (← links)
• Bayesian data synthesis and the utility-risk trade-off for mixed epidemiological data (Q2080771) (← links)
• Robust sparse Bayesian infinite factor models (Q2095775) (← links)
• Bayesian latent factor regression for multivariate functional data with variable selection (Q2131944) (← links)
• Bayesian factor models for probabilistic cause of death assessment with verbal autopsies (Q2179963) (← links)
• Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis (Q2179984) (← links)
• Adaptive estimation in structured factor models with applications to overlapping clustering (Q2215724) (← links)
• Infinite mixtures of infinite factor analysers (Q2226717) (← links)
• Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models (Q2233162) (← links)
• Bayesian matrix completion approach to causal inference with panel data (Q2241470) (← links)
• Causal mediation analysis for sparse and irregular longitudinal data (Q2245154) (← links)
• Perturbed factor analysis: accounting for group differences in exposure profiles (Q2247491) (← links)
• Bayesian joint modeling of chemical structure and dose response curves (Q2247494) (← links)
• Hierarchical infinite factor models for improving the prediction of surgical complications for geriatric patients (Q2291546) (← links)
• Compressed covariance estimation with automated dimension learning (Q2300095) (← links)
• Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework (Q2319477) (← links)
• Distributed Bayesian matrix factorization with limited communication (Q2320545) (← links)
• Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models (Q2418505) (← links)
• Semiparametric Bayes hierarchical models with mean and variance constraints (Q2445672) (← links)
• Separable factor analysis with applications to mortality data (Q2453659) (← links)
• An adaptive truncation method for inference in Bayesian nonparametric models (Q2631376) (← links)
• Bayesian sparse covariance decomposition with a graphical structure (Q2631381) (← links)
• Multivariate functional data modeling with time-varying clustering (Q2666063) (← links)
• Nonparametric Bayes modeling for case control studies with many predictors (Q2805195) (← links)
• Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression (Q2861812) (← links)