Pages that link to "Item:Q2889638"

The following pages link to Mixed hidden Markov models for longitudinal data: an overview (Q2889638):

Displaying 44 items.

• Parsimonious Hidden Markov Models for Matrix-Variate Longitudinal Data (Q118176) (← links)
• Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm (Q435011) (← links)
• A multivariate hidden Markov model for the identification of sea regimes from incomplete skewed and circular time series (Q484700) (← links)
• A two-state mixed hidden Markov model for risky teenage driving behavior (Q746674) (← links)
• A variance component test for mixed hidden Markov models (Q947195) (← links)
• Dealing with multiple local modalities in latent class profile analysis (Q1615156) (← links)
• Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers (Q1658183) (← links)
• Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: a simulation study (Q1660151) (← links)
• Unsupervised learning of mixture regression models for longitudinal data (Q1662922) (← links)
• Alternative approaches for econometric modeling of panel data using mixture distributions (Q1690070) (← links)
• Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data (Q1727865) (← links)
• Multivariate hidden Markov regression models: random covariates and heavy-tailed distributions (Q2065291) (← links)
• Mixture of hidden Markov models for accelerometer data (Q2078758) (← links)
• A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error (Q2089288) (← links)
• Quantile hidden semi-Markov models for multivariate time series (Q2172108) (← links)
• Continuous time hidden Markov model for longitudinal data (Q2196129) (← links)
• Hierarchical Markov-switching models for multivariate integer-valued time-series (Q2225006) (← links)
• Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach (Q2272454) (← links)
• Mixture of multivariate \(t\) nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values (Q2273150) (← links)
• Hidden three-state survival model for bivariate longitudinal count data (Q2274694) (← links)
• Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure (Q2348716) (← links)
• Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition (Q2418411) (← links)
• Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates (Q2513934) (← links)
• Multivariate longitudinal data analysis with mixed effects hidden Markov models (Q2803508) (← links)
• A Dynamic Latent Model for Poverty Measurement (Q2807626) (← links)
• Time-varying clustering of multivariate longitudinal observations (Q2807691) (← links)
• Generalized Linear Mixed Models Based on Latent Markov Heterogeneity Structures (Q3460668) (← links)
• A discrete time event‐history approach to informative drop‐out in mixed latent Markov models with covariates (Q3465726) (← links)
• Multiple imputation of longitudinal categorical data through bayesian mixture latent Markov models (Q5037018) (← links)
• Dynamic latent trait models with mixed hidden Markov structure for mixed longitudinal outcomes (Q5138030) (← links)
• Segmentation of mortality surfaces by hidden Markov models (Q5142242) (← links)
• Mixture of Forward-Directed and Backward-Directed Autoregressive Hidden Markov Models for Time series Modeling (Q5197449) (← links)
• Robust fitting of hidden Markov regression models under a longitudinal setting (Q5219389) (← links)
• Hidden Markov latent variable models with multivariate longitudinal data (Q5347443) (← links)
• Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies (Q6088634) (← links)
• Bayesian hidden Markov modelling using circular‐linear general projected normal distribution (Q6139133) (← links)
• Functional concurrent hidden Markov model (Q6172910) (← links)
• The environmental Kuznets curve: functional form, time‐varying heterogeneity and outliers in a panel setting (Q6179510) (← links)
• Hidden Markov models for longitudinal rating data with dynamic response styles (Q6580618) (← links)
• Dynamic Discrete Mixtures for High-Frequency Prices (Q6620884) (← links)
• Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates (Q6627382) (← links)
• Generalized linear mixed hidden models in longitudinal settings: a Bayesian approach (Q6627783) (← links)
• Hidden Markov models for multivariate panel data (Q6643214) (← links)
• Matrix-variate hidden Markov regression models: fixed and random covariates (Q6657923) (← links)