Pages that link to "Item:Q1247128"

The following pages link to Estimating the dimension of a model (Q1247128):

Displaying 50 items.

• An improved Akaike information criterion for state-space model selection (Q959349) (← links)
• Longitudinal data model selection (Q959391) (← links)
• A two-stage empirical Bayes method for identifying differentially expressed genes (Q959437) (← links)
• Econometric analysis of financial trade processes by discrete mixture duration models (Q959753) (← links)
• A framework for modelling overdispersed count data, including the Poisson-shifted generalized inverse Gaussian distribution (Q961120) (← links)
• Joint modelling of multivariate longitudinal outcomes and a time-to-event: a nonlinear latent class approach (Q961251) (← links)
• An R implementation for generalized Birnbaum-Saunders distributions (Q961296) (← links)
• A mixture model approach for the analysis of small exploratory microarray experiments (Q961306) (← links)
• Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis (Q961314) (← links)
• Complexity control in a mixture model by the Hardy-Weinberg equilibrium (Q961332) (← links)
• Deviance information criterion (DIC) in Bayesian multiple QTL mapping (Q961371) (← links)
• Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data (Q961384) (← links)
• The volatility structure of the fixed income market under the HJM framework: a nonlinear filtering approach (Q961403) (← links)
• Asymmetric multivariate normal mixture GARCH (Q961408) (← links)
• Bootstrapping long memory tests: some Monte Carlo results (Q961426) (← links)
• Boosting nonlinear additive autoregressive time series (Q961660) (← links)
• Comparing measures of model selection for penalized splines in Cox models (Q961686) (← links)
• Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models (Q961742) (← links)
• A dual latent class unfolding model for two-way two-mode preference rating data (Q961773) (← links)
• Distribution-preserving statistical disclosure limitation (Q961922) (← links)
• Objective parametric model selection procedures from a Bayesian nonparametric perspective (Q961925) (← links)
• Penalized factor mixture analysis for variable selection in clustered data (Q961929) (← links)
• A two-component Weibull mixture to model early and late mortality in a Bayesian framework (Q962272) (← links)
• Using combinatorial optimization in model-based trimmed clustering with cardinality constraints (Q962299) (← links)
• Model selection with the loss rank principle (Q962384) (← links)
• Data-driven neighborhood selection of a Gaussian field (Q962389) (← links)
• Selection between proportional and stratified hazards models based on expected log-likelihood (Q964648) (← links)
• Some selection criteria for nested binary choice models: a comparative study (Q964651) (← links)
• The Kullback information criterion for mixture regression models (Q968467) (← links)
• Sequential learning models for the Wisconsin card sort task: assessing processes in substance dependent individuals (Q972205) (← links)
• Cognitive mechanisms underlying risky decision-making in chronic cannabis users (Q972211) (← links)
• Models of probabilistic category learning in Parkinson's disease: strategy use and the effects of L-dopa (Q972234) (← links)
• A survey of cross-validation procedures for model selection (Q975579) (← links)
• Finite mixture models and model-based clustering (Q975580) (← links)
• Globally flexible functional forms: the neural distance function (Q976336) (← links)
• Detecting positive quadrant dependence and positive function dependence (Q977155) (← links)
• Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications (Q977645) (← links)
• Estimation of constant and time-varying dynamic parameters of HIV infection in a nonlinear differential equation model (Q977648) (← links)
• Large-scale structure of time evolving citation networks (Q978768) (← links)
• On the minimum description length complexity of multinomial processing tree models (Q979181) (← links)
• Consistency of objective Bayes factors for nonnested linear models and increasing model dimension (Q981973) (← links)
• Gaga: a parsimonious and flexible model for differential expression analysis (Q985021) (← links)
• A geometric view on learning Bayesian network structures (Q985149) (← links)
• High-dimensional Gaussian model selection on a Gaussian design (Q985331) (← links)
• Estimating difficulty from polytomous categorical data (Q985441) (← links)
• DOA estimator performance assessment in the pre-asymptotic domain using the likelihood principle (Q985458) (← links)
• Consistency of objective Bayes factors as the model dimension grows (Q987993) (← links)
• Variable selection in nonparametric additive models (Q988006) (← links)
• Exact and Monte Carlo calculations of integrated likelihoods for the latent class model (Q988928) (← links)
• Maximum likelihood estimation for directional conditionally autoregressive models (Q988950) (← links)