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Learning Stable Multilevel Dictionaries for Sparse Representation of Images
Learning Stable Multilevel Dictionaries Sparse Representation Images
2013/4/28
Dictionaries adapted to the data provide superior performance when compared to predefined dictionaries in applications involving sparse representations. Algorithmic stability and generalization are de...
Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data
composite likelihood EM algorithm latent Markov model pairwise likelihood
2012/9/17
In the context of multilevel longitudinal data, where sample units are collected in clusters, an important aspect that should be accounted for is the unobserved heterogeneity between sample units and ...
MMANOVA: A general multilevel framework for multivariate analysis of variance
Bayesian inference Constraints Mixed model Variance components
2012/9/19
Classical analysis of variance requires that model terms be labeled as xed or random and typically culminate by comparing variability from each batch (factor) to variability from errors; without a st...
EMERGENCE OF THE HUMAN CAPITAL RESOURCE: A MULTILEVEL MODEL
human capital multilevel model connecting research personnel departments
2011/10/22
The article presents a theory of human capital in terms of a multilevel model connecting research at various levels of scale. It defines human capital in terms of knowledge, abilities, and skills. The...
The Multilevel Effect of Administration on Technical Output in Public Schools: A Cross-National Study of Managerial Behavior and Individual Performance
The Multilevel Effect Administration Technical Output Public Schools Managerial Behavior Individual Performance
2009/9/30
This cross-national analysis considers the influence of administrative performance accountability on technical output in public schools through the implementation of rigorous standards and administrat...
A Bayesian Structural Equations Model for Multilevel Data with Missing Responses and Missing Covariates
DIC Latent variable Markov chain Monte Carlo missing at random random eects VHA all employee survey data
2009/9/22
Motivated by a large multilevel survey conducted by the US Veterans
Health Administration (VHA), we propose a structural equations model which in-
volvesa set of latentvariables tocapture dependence...
A comparison of Bayesian and likelihood-based methods for fitting multilevel models
Adaptive MCMC bias calibration diuse priors hierarchical modeling MQL mixed models PQL RIGLS random-eects logistic regression
2009/9/21
We use simulation studies, whose design is realistic for educational
and medical research (as well as other elds of inquiry), to compare Bayesian and
likelihood-based methods for tting variance-comp...