Pages that link to "Item:Q1092542"

The following pages link to Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions (Q1092542):

Displaying 50 items.

• A mixture of regular vines for multiple dependencies (Q2039146) (← links)
• Consistent variable selection criteria in multivariate linear regression even when dimension exceeds sample size (Q2041755) (← links)
• Learning Bayesian networks from incomplete data with the node-average likelihood (Q2060771) (← links)
• A model selection criterion for count models based on a divergence between probability generating functions (Q2087077) (← links)
• Diagnostic classification analysis of problem-solving competence using process data: an item expansion method (Q2103580) (← links)
• Assessment of agricultural sustainability in European union countries: a group-based multivariate trajectory approach (Q2106832) (← links)
• Spare time use: profiles of Italian Millennials (beyond the media hype) (Q2111334) (← links)
• A robust class of multivariate fatigue distributions based on normal mean-variance mixture model (Q2131972) (← links)
• Weighted generalized quasi Lindley distribution: different methods of estimation, applications for Covid-19 and engineering data (Q2142784) (← links)
• A note on: ``Impact factor distribution revisited'' (Q2148608) (← links)
• Least informative distributions in maximum \(q\)-log-likelihood estimation (Q2153174) (← links)
• Model selection strategies for determining the optimal number of overlapping clusters in additive overlapping partitional clustering (Q2169873) (← links)
• Sparsity-regularized skewness estimation for the multivariate skew normal and multivariate skew \(t\) distributions (Q2196121) (← links)
• Model selection in linear mixed-effect models (Q2234730) (← links)
• Bayesian multivariate latent class profile analysis: exploring the developmental progression of youth depression and substance use (Q2242033) (← links)
• Data, model, conclusion, doing it again (Q2248665) (← links)
• Mixtures of (constrained) ultrametric trees (Q2248671) (← links)
• Bayesian inference for finite mixtures of generalized linear models with random effects (Q2250615) (← links)
• Model selection of copulas: AIC versus a cross validation copula information criterion (Q2251716) (← links)
• Evaluating latent class analysis models in qualitative phenotype identification (Q2257602) (← links)
• Discrepancy risk model selection test theory for comparing possibly misspecified or nonnested models (Q2259869) (← links)
• Model based clustering of large data sets: tracing the development of spelling ability (Q2260003) (← links)
• Hierarchical classes models for three-way three-mode binary data: interrelations and model selection (Q2260040) (← links)
• Parameter estimation of Poisson mixture with automated model selection through BYY harmony learning (Q2270738) (← links)
• Deformation analysis in tunnels through curve clustering (Q2290030) (← links)
• The negative binomial-inverse Gaussian regression model with an application to insurance ratemaking (Q2323681) (← links)
• Learning with imprecise probabilities as model selection and averaging (Q2330013) (← links)
• A consistency property of the AIC for multivariate linear models when the dimension and the sample size are large (Q2346518) (← links)
• The generalized linear mixed cluster-weighted model (Q2353147) (← links)
• A multilevel latent class analysis of the purchasing channels among European consumers (Q2360321) (← links)
• A generalization of the half-normal distribution (Q2362954) (← links)
• Risk aggregation in multivariate dependent Pareto distributions (Q2374106) (← links)
• Quantitative models for direct marketing: A review from systems perspective (Q2378370) (← links)
• High-dimensional asymptotic behavior of the difference between the log-determinants of two Wishart matrices (Q2397130) (← links)
• A study on the generalized approximation modeling method based on fitting sensitivity for prediction of engine performance (Q2398791) (← links)
• Variable selection in data envelopment analysis via Akaike's information criteria (Q2399328) (← links)
• Automated learning of \(t\) factor analysis models with complete and incomplete data (Q2404419) (← links)
• AIC under the framework of least squares estimation (Q2411126) (← links)
• Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model (Q2442117) (← links)
• Modeling association between DNA copy number and gene expression with constrained piecewise linear regression splines (Q2443145) (← links)
• Observed-score equating: an overview (Q2452348) (← links)
• Internal multidimensional unfolding about a single-ideal -- a probabilistic solution (Q2462309) (← links)
• A comparative investigation on subspace dimension determination (Q2485228) (← links)
• Scale economies and production function estimation for object-oriented software component and source code documentation size (Q2488924) (← links)
• Factor analysis with (mixed) observed and latent variables in the exponential family (Q2511853) (← links)
• Inferring latent class lexicographic rules from choice data (Q2517781) (← links)
• A BYY scale-incremental EM algorithm for Gaussian mixture learning (Q2518492) (← links)
• Identification of piecewise affine systems based on statistical clustering technique (Q2576099) (← links)
• Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers (Q2637605) (← links)
• Asymptotics of AIC, BIC and \(C_p\) model selection rules in high-dimensional regression (Q2676924) (← links)