Pages that link to "Item:Q1247128"

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

Displaying 50 items.

• Variable selection for recurrent event data via nonconcave penalized estimating function (Q841054) (← links)
• Accelerated test system strength models based on Birnbaum-Saunders distribution: a complete Bayesian analysis and comparison (Q841074) (← links)
• Variational Bayes via propositionalized probability computation in PRISM (Q841638) (← links)
• A mixture model-based approach to the clustering of exponential repeated data (Q842912) (← links)
• Automatic model selection for partially linear models (Q842929) (← links)
• An efficient branch-and-bound strategy for subset vector autoregressive model selection (Q844693) (← links)
• Choosing the link function and accounting for link uncertainty in generalized linear models using Bayes factors (Q849870) (← links)
• A comparison of Bayesian model selection based on MCMC with an application to GARCH-type models (Q849878) (← links)
• Maximum likelihood robust regression by mixture models (Q851811) (← links)
• Classification using hierarchical naïve Bayes models (Q851860) (← links)
• The max-min hill-climbing Bayesian network structure learning algorithm (Q851867) (← links)
• Bayesian model learning based on predictive entropy (Q853783) (← links)
• Application of modified information criterion to multiple change point problems (Q853951) (← links)
• Nonlinear regression modeling via regularized wavelets and smoothing parameter selection (Q855915) (← links)
• Nonlinear dynamical system identification with dynamic noise and observational noise (Q857171) (← links)
• Model-based clustering for integrated circuit yield enhancement (Q857371) (← links)
• A methodology for developing Bayesian networks: an application to information technology (IT) implementation (Q858433) (← links)
• Signal extraction and knowledge discovery based on statistical modeling (Q860830) (← links)
• Bayesian spatial modelling of gamma ray count data (Q862442) (← links)
• BIC-based unit-root detection: simulation-based evidence (Q864807) (← links)
• Introducing model uncertainty by moving blocks bootstrap (Q864906) (← links)
• A comparative investigation on model selection in independent factor analysis (Q864945) (← links)
• A general bilinear model to describe growth or decline time profiles (Q870419) (← links)
• Strong consistency of the regularized least-squares estimates of infinite autoregressive models (Q872084) (← links)
• An application of vector GARCH model in semiconductor demand planning (Q872265) (← links)
• Stochastic complexities of general mixture models in variational Bayesian learning (Q872400) (← links)
• Newtonian clustering: an approach based on molecular dynamics and global optimization (Q877118) (← links)
• A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving (Q882239) (← links)
• Evaluating the reliance on past choices in adaptive learning models (Q882297) (← links)
• Regularization in statistics (Q882931) (← links)
• Joint detection of unit roots and cointegration: data-based simulation (Q883241) (← links)
• Modeling nonlinearities with mixtures-of-experts of time series models (Q885621) (← links)
• Statistical properties of convex clustering (Q887272) (← links)
• A mixture cure-rate model for responses and response times in time-limit tests (Q888030) (← links)
• Functional index coefficient models with variable selection (Q888320) (← links)
• Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function (Q890291) (← links)
• Using causal discovery for feature selection in multivariate numerical time series (Q890305) (← links)
• Variable selection for generalized linear mixed models by \(L_1\)-penalized estimation (Q892458) (← links)
• Finite mixtures of multivariate skew \(t\)-distributions: some recent and new results (Q892461) (← links)
• Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models (Q892462) (← links)
• Mixtures of regressions with changepoints (Q892470) (← links)
• A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood (Q892490) (← links)
• Hidden Markov models with mixtures as emission distributions (Q892798) (← links)
• Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution (Q892802) (← links)
• Mixture of latent trait analyzers for model-based clustering of categorical data (Q892805) (← links)
• Bridge estimators and the adaptive Lasso under heteroscedasticity (Q893067) (← links)
• Model selection and estimation in high dimensional regression models with group SCAD (Q893964) (← links)
• Bandit-based Monte-Carlo structure learning of probabilistic logic programs (Q894703) (← links)
• How sensitive is the pricing of lookback and interest rate guarantees when changing the modelling assumptions? (Q896747) (← links)
• Parallel globally optimal structure learning of Bayesian networks (Q897373) (← links)