Pages that link to "Item:Q4238080"

The following pages link to Multivariate Student-t regression models: Pitfalls and inference (Q4238080):

Displaying 50 items.

• Generalized linear mixed models for correlated binary data with \(t\)-link (Q261007) (← links)
• Posterior property of Student-\(t\) linear regression model using objective priors (Q274155) (← links)
• Influence diagnostics for robust P-splines using scale mixture of normal distributions (Q287528) (← links)
• Analysis of MCMC algorithms for Bayesian linear regression with Laplace errors (Q391581) (← links)
• Extreme dependence models based on event magnitude (Q391856) (← links)
• Multivariate elliptical models with general parameterization (Q545148) (← links)
• Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distribu\-tions (Q553044) (← links)
• A new class of inverse Gaussian type distributions (Q745507) (← links)
• Estimation in nonlinear mixed-effects models using heavy-tailed distributions (Q746189) (← links)
• Detection of a change-point in Student-\(t\) linear regression models (Q819424) (← links)
• Objective prior for the number of degrees of freedom of a \(t\) distribution (Q899016) (← links)
• Bayesian non-linear regression models with skew-elliptical errors: applications to the classification of longitudinal profiles (Q961130) (← links)
• On estimation and influence diagnostics for the Grubbs' model under heavy-tailed distributions (Q961267) (← links)
• On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors (Q962214) (← links)
• Assessment of local influence in elliptical linear models with longitudinal structure (Q1020096) (← links)
• Lifetime analysis based on the generalized Birnbaum-Saunders distribution (Q1023538) (← links)
• Linear mixed models with skew-elliptical distributions: a Bayesian approach (Q1023869) (← links)
• Posterior inference on the degrees of freedom parameter in multivariate- \(t\) regression models (Q1189352) (← links)
• Bayesian analysis of the calibration problem under elliptical distributions. (Q1587197) (← links)
• Simultaneous multifactor DIF analysis and detection in item response theory (Q1621215) (← links)
• A multivariate linear regression analysis using finite mixtures of \(t\) distributions (Q1621290) (← links)
• A general method for robust Bayesian modeling (Q1631602) (← links)
• Objective priors for the number of degrees of freedom of a multivariate \(t\) distribution and the \(t\)-copula (Q1662868) (← links)
• Fast goodness-of-fit tests based on the characteristic function (Q1663267) (← links)
• Objective Bayesian analysis for the multivariate skew-\(t\) model (Q1663612) (← links)
• Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors (Q1750005) (← links)
• A \(q\)-exponential regression model (Q1940904) (← links)
• Inference for grouped data with a truncated skew-Laplace distribution (Q1942901) (← links)
• Estimating the spectral gap of a trace-class Markov operator (Q2002572) (← links)
• Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-\(t\) models (Q2032222) (← links)
• Objective Bayesian analysis for the Student-\(t\) linear regression (Q2057376) (← links)
• Online inference with multi-modal likelihood functions (Q2073695) (← links)
• Theoretical properties of Bayesian Student-\(t\) linear regression (Q2105358) (← links)
• Robust Bayesian model selection for heavy-tailed linear regression using finite mixtures (Q2180257) (← links)
• A note on sigma-mu efficiency analysis as a methodology for evaluating units through composite indicators (Q2189910) (← links)
• High-dimensional inference using the extremal skew-\(t\) process (Q2231315) (← links)
• Bayesian estimation for the extended \(t\)-process regression models with independent errors (Q2231569) (← links)
• A robust estimation for the extended \(t\)-process regression model (Q2288780) (← links)
• Bayesian variable selection in linear regression models with non-normal errors (Q2324308) (← links)
• Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic Student-\(t\) model (Q2329797) (← links)
• Adaptive autoregressive priors for area and time structured mortality data (Q2390449) (← links)
• Tests of heteroscedasticity and correlation in multivariate <i>t</i> regression models with AR and ARMA errors (Q3019498) (← links)
• Assessing the value of Hermite densities for predictive distributions (Q3065553) (← links)
• One-Sided Tests in Linear Models with Multivariate<i>t</i>-Distribution (Q3155627) (← links)
• Robust Likelihood Methods Based on the Skew-t and Related Distributions (Q3182013) (← links)
• Joint modelling of location and scale parameters of the t distribution (Q3429986) (← links)
• Influence diagnostics for Student-<i>t</i>censored linear regression models (Q3462140) (← links)
• Influence diagnostics for the structural errors-in-variables model under the Student-t distribution (Q3591778) (← links)
• Local influence in null intercept measurement error regression under a student_t model (Q3592027) (← links)
• Performance of Model Selection Criteria in Bayesian Threshold VAR (TVAR) Models (Q3615079) (← links)