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Showing 1 to 17 of 17 for “"Auxiliary variables"”.

  1. USING PRINCIPAL COMPONENT ANALYSIS (PCA) TO OBTAIN AUXILIARY VARIABLES FOR MISSING DATA IN LARGE DATA SETS

    … The issue can arise in any analysis in which auxiliary variables are used to inform a modern missing data handling procedure (e.g., FIML, MI) to support the missing at random assumption, reduce bias and decrease standard errors. The problem is that researchers suggest an "inclusive strategy" …

    ku Repository record for USING PRINCIPAL COMPONENT ANALYSIS (PCA) TO OBTAIN AUXILIARY VARIABLES FOR MISSING DATA IN LARGE DATA SETS (opens in a new tab)

  2. Using the Fraction of Missing Information (FMI) in Selecting Auxiliary Variables to Impute Missingness in Confirmatory Factor Analysis (CFA)

    … fraction of missing information (FMI) to select auxiliary variables in imputing missing data in confirmatory factor analysis (CFA). This was done by conducting two studies (a simulation study and an empirical study). A Monte Carlo simulation technique was used to compare the performance and the …

    denver Repository record for Using the Fraction of Missing Information (FMI) in Selecting Auxiliary Variables to Impute Missingness in Confirmatory Factor Analysis (CFA) (opens in a new tab)

  3. Learning meaning representations for text generation with deep generative models

    … conditioning a language generation model with auxiliary variables. By doing so, we hope to be able to better control the output of the language generator. We explore several kinds of auxiliary variables in this thesis, from unstructured continuous, to discrete, to structured discrete auxiliary

    cambridge Repository record for Learning meaning representations for text generation with deep generative models (opens in a new tab)

  4. Graph-theoretic Identification of Dynamic Networks

    … applicable to scenarios encompassing confounding variables and feedback loops, which are complicating factors potentially introducing bias in the estimate of the transfer function. The results are based on the prediction of the output node using the input node along with a set of additional …

    umn Repository record for Graph-theoretic Identification of Dynamic Networks (opens in a new tab)

  5. The Emergence of Knowledge And The Benefits Of Quorum

    … in this model, to a bound state for a set of auxiliary variables. A useful analogy can be made with theories of non-adiabatic transfer of a charged particle in a condensed medium: Distinct patterns correspond to distinct positions of the particle, whose on-site energies are distributed, while …

    houston Repository record for The Emergence of Knowledge And The Benefits Of Quorum (opens in a new tab)

  6. Adjoint sensitivity analysis of the two-phase two-fluid model based on an approximate Riemann solver

    … system is overcome by introducing several new auxiliary variables. With the help of new auxiliary variables and thermodynamic transformations, the Jacobian matrix of the system can be simplified to a well-structured form, which is convenient for an analytical analysis. Approximate eigenvalues …

    uiuc Repository record for Adjoint sensitivity analysis of the two-phase two-fluid model based on an approximate Riemann solver (opens in a new tab)

  7. On variational principles for dissipative networks and systems

    … principles can nevertheless be formulated using auxiliary variables or a multiplying factor. Both methods are examined, generalized, and applied to some dissipative systems. Composite variational principles employ auxiliary variables in addition to the original ones, and achieve stationarity of …

    vt Repository record for On variational principles for dissipative networks and systems (opens in a new tab)

  8. Analysis of Plane Strain Deformations of Linearly Elastic Strain-Gradient Materials by the Finite Element Method

    … dependent materials by introducing auxiliary variables to enable the use of simple low order polynomials as basis functions. We use Lagrange multipliers to satisfy the non-classical boundary conditions pertinent to strain gradients. To verify the developed software, we analyze plane …

    vt Repository record for Analysis of Plane Strain Deformations of Linearly Elastic Strain-Gradient Materials by the Finite Element Method (opens in a new tab)

  9. One-sided screening procedure using multiple normally distributed variables

    … destroys or degrades the product. In such cases, auxiliary variables which are correlated with the performance variable can be used to indirectly determine the quality of the product. These variables are called screening variables. Under the assumption that the performance and the screening …

    vt Repository record for One-sided screening procedure using multiple normally distributed variables (opens in a new tab)

  10. Missing data and multiple imputation: A sampling study with the SAGA cohort

    … brief look into different strategies of choosing auxiliary variables was conducted as well as looking at how the results differ under Missing not at random (MNAR) mechanism. Results: The different methods performed similarly on the whole SAGA cohort. From the sampling study, CCA performed worse …

    u-iceland Repository record for Missing data and multiple imputation: A sampling study with the SAGA cohort (opens in a new tab)

  11. Development of high-order doubly asymptotic open boundaries for wave propagation in unbounded domains by extending the scaled boundary finite element method

    … high- and low-frequency limits. By introducing auxiliary variables and the doubly asymptotic continued fraction solution to the force-displacement relationship in the frequency domain, a high-order doubly asymptotic open boundary condition is obtained. The open boundaries are expressed as …

    unsw Repository record for Development of high-order doubly asymptotic open boundaries for wave propagation in unbounded domains by extending the scaled boundary finite element method (opens in a new tab)

  12. Multiset Model Selection and Averaging, and Interactive Storytelling

    … for the parameters and model indicators on variables. We show that posterior model probabilities can be easily obtained from multiset averaged posterior model probabilities in MSMS. We also obtain typical Bayesian model averaged estimates for the parameters from MSMS. We apply our algorithm …

    vt Repository record for Multiset Model Selection and Averaging, and Interactive Storytelling (opens in a new tab)

  13. Modeling forest stand structure using geostatistics, geographic information systems, and remote sensing

    … tree in a forest is not feasible and the variables of interest are measured at single point locations. However, information, such as basal area and timber volume, is usually required for the entire forest. This leads to methods of interpolating data and estimating the mean value within the …

    colostate Repository record for Modeling forest stand structure using geostatistics, geographic information systems, and remote sensing (opens in a new tab)

  14. Computational modeling and simulation of nonlinear electromagnetic and multiphysics problems

    … laws and normal flux continuity by introducing auxiliary variables and damping terms into the original Maxwell's equations, which result in artificial propagation and dissipation of the numerical errors. Based on the DGTD method, dynamic h- and p-adaptation algorithms are developed for a …

    uiuc Repository record for Computational modeling and simulation of nonlinear electromagnetic and multiphysics problems (opens in a new tab)

  15. A reduced order systems approach to prediction of emergent behaviors of biological systems

    … may be augmented by adding equations using auxiliary variables necessary to "sufficiently inform" the nonlinear dynamics. This creates an augmented state space where a linear description of the nonlinear system can be found. Second, the augmented (auxiliary and state) variables are simulated …

    mit Repository record for A reduced order systems approach to prediction of emergent behaviors of biological systems (opens in a new tab)

  16. Resource allocation and secure communication design in simultaneous wireless information and power transfer systems

    … issues of the quadratic terms and the coupled variables. To deal with this non-convex problem, two algorithms are proposed. In the first algorithm case, the proposed problem can be globally solved by using a two-level optimization approach which involves the SDR method and the one-dimensional …

    lancaster Repository record for Resource allocation and secure communication design in simultaneous wireless information and power transfer systems (opens in a new tab)

  17. Semi-implicit schemes for compressible fluids in elastic pipes and a-posteriori sub-cell finite volume limiting techniques for semi-implicit Discontinuous Galerkin schemes for hyperbolic conservation laws on staggered meshes

    … via a set of additional ODEs for appropriate auxiliary variables. This trick improves the computational efficiency of these methods substantially, since it avoids the direct computation of the convolution integral. In addition, semi-implicit finite volume methods are significantly superior to …

    trento Repository record for Semi-implicit schemes for compressible fluids in elastic pipes and a-posteriori sub-cell finite volume limiting techniques for semi-implicit Discontinuous Galerkin schemes for hyperbolic conservation laws on staggered meshes (opens in a new tab)