scientific article; zbMATH DE number 2063756
From MaRDI portal
Publication:4461333
zbMath1035.62060MaRDI QIDQ4461333
Hedibert Freitas Lopes, Mike West
Publication date: 30 March 2004
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
bridge samplingBayes factorssimulationsmodel selection criteriamodel uncertaintyreversible jump MCMClatent factor modelsexpected posterior prior
Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)
Related Items
Using sufficient direction factor model to analyze latent activities associated with breast cancer survival, Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data, Dynamic correlation multivariate stochastic volatility with latent factors, A flexible predictive density combination for large financial data sets in regular and crisis periods, Model-based clustering via mixtures of unrestricted skew normal factor analyzers with complete and incomplete data, A robust factor analysis model based on the canonical fundamental skew-\(t\) distribution, Heterogeneous large datasets integration using Bayesian factor regression, Bayesian benchmark dose analysis, Assessment of generalised Bayesian structural equation models for continuous and binary data, Bayesian combinatorial multistudy factor analysis, Dynamic spatial regression models for space‐varying forest stand tables, A Mode-Jumping Algorithm for Bayesian Factor Analysis, Analysis of space-time relational data with application to legislative voting, Order-invariant prior specification in Bayesian factor analysis, Skew selection for factor stochastic volatility models, Flexible clustering via extended mixtures of common \(t\)-factor analyzers, A generalized multiple-try version of the reversible jump algorithm, Mixtures of skew-\(t\) factor analyzers, Estimation methods for multivariate Tobit confirmatory factor analysis, Modeling Adverse Birth Outcomes via Confirmatory Factor Quantile Regression, An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule, Model-based clustering, Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions, Bayesian sparse covariance decomposition with a graphical structure, Online learning of time-varying stochastic factor structure by variational sequential Bayesian factor analysis, Parsimony inducing priors for large scale state-space models, Treatment Effects: A Bayesian Perspective, A Bayesian semiparametric factor analysis model for subtype identification, Multiplying a Gaussian matrix by a Gaussian vector, Multivariate functional data modeling with time-varying clustering, Bayesian factor models for probabilistic cause of death assessment with verbal autopsies, Bayesian panel data analysis for exploring the impact of subprime financial crisis on the US stock market, Bayesian Approaches to Shrinkage and Sparse Estimation, General location model with factor analyzer covariance matrix structure and its applications, Clustering South African households based on their asset status using latent variable models, Robust skew-\(t\) factor analysis models for handling missing data, Simultaneous variable and factor selection via sparse group lasso in factor analysis, A Bayesian nonparametric approach for the analysis of multiple categorical item responses, Multilevel heterogeneous factor analysis and application to ecological momentary assessment, Properties of the bridge sampler with a focus on splitting the MCMC sample, Dealing with reflection invariance in Bayesian factor analysis, Extending mixtures of factor models using the restricted multivariate skew-normal distribution, Bayesian factor analysis with uncertain functional constraints about factor loadings, Generalized spatial dynamic factor models, Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models, Inferring constructs of effective teaching from classroom observations: an application of Bayesian exploratory factor analysis without restrictions, Bayesian Assessment of the Distribution of Insurance Claim Counts Using Reversible Jump MCMC, Dynamics \& sparsity in latent threshold factor models: a study in multivariate EEG signal processing, Unnamed Item, Forecasting emergency medical service call arrival rates, A semiparametric approach to mixed outcome latent variable models: estimating the association between cognition and regional brain volumes, Model-based clustering, classification, and discriminant analysis of data with mixed type, Modeling US housing prices by spatial dynamic structural equation models, Bayesian factor models in characterizing molecular adaptation, Skew-normal factor analysis models with incomplete data, Semiparametric Bayes hierarchical models with mean and variance constraints, A new approach for selecting the number of factors, Separable factor analysis with applications to mortality data, Transdimensional transformation based Markov chain Monte Carlo, Robust mixtures of factor analysis models using the restricted multivariate skew-t distribution, Bayesian factor models for the detection of coherent patterns in gene expression data, Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification, Forecast density combinations of dynamic models and data driven portfolio strategies, A robust factor analysis model using the restricted skew-\(t\) distribution, Unnamed Item, Geoadditive Latent Variable Modeling of Count Data on Multiple Sexual Partnering in Nigeria, Proxy vector autoregressions in a data-rich environment, Bayesian Latent Factor Regression for Functional and Longitudinal Data, Perturbed factor analysis: accounting for group differences in exposure profiles, Particle filters and Bayesian inference in financial econometrics, Robust inflation-forecast-based rules to shield against indeterminacy, Variational Bayesian functional PCA, Modelling the impact of socioeconomic structure on spatial health outcomes, Modeling associations among multivariate longitudinal categorical variables in survey data: a semiparametric Bayesian approach, Hierarchical Factor Models for Large Spatially Misaligned Data: A Low‐Rank Predictive Process Approach, Model-based classification using latent Gaussian mixture models, Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models, A new latent cure rate marker model for survival data, A mixture of generalized hyperbolic factor analyzers, On the identifiability of Bayesian factor analytic models, Bayesian exploratory factor analysis, Dynamic Model for Multivariate Markers of Fecundability, Factor stochastic volatility with time varying loadings and Markov switching regimes, Inferring food intake from multiple biomarkers using a latent variable model, Extending mixtures of multivariate \(t\)-factor analyzers, Bayesian analysis of static and dynamic factor models: an ex-post approach towards the rotation problem, Hierarchical infinite factor models for improving the prediction of surgical complications for geriatric patients, Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models, A Bayesian semiparametric latent variable model for mixed responses, Invariant Inference and Efficient Computation in the Static Factor Model, Bayesian model-averaged benchmark dose analysis via reparameterized quantal-response models, Modelling multivariate disease rates with a latent structure mixture model, A flexible observed factor model with separate dynamics for the factor volatilities and their correlation matrix, Marginal likelihood estimation from the Metropolis output: tips and tricks for efficient implementation in generalized linear latent variable models, A Bayesian factor model for spatial panel data with a separable covariance approach, Bayesian factor analysis with fat-tailed factors and its exact marginal likelihood, Sequential Monte Carlo samplers with independent Markov chain Monte Carlo proposals, Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework, Distributed Bayesian matrix factorization with limited communication, On Bayesian analysis of parsimonious Gaussian mixture models, Bayesian multistudy factor analysis for high-throughput biological data, A Bayesian precision medicine framework for calibrating individualized therapeutic indices in cancer, Parsimonious Bayesian factor analysis for modelling latent structures in spectroscopy data, Bayesian hypothesis testing: redux, Variable selection via the weighted group lasso for factor analysis models, Extending mixtures of multivariate \(t\)-factor analyzers, Robust sparse Bayesian infinite factor models, Bayesian factor models for multivariate categorical data obtained from questionnaires, Factor Extraction in Dynamic Factor Models: Kalman Filter Versus Principal Components, Bayes model selection with path sampling: factor models and other examples, Bayesian factor analysis for spatially correlated data: application to cancer incidence data in Scotland
Uses Software
