Showing 1 - 20 results of 102 for search '"latent variable"', query time: 0.06s Refine Results
  1. 1

    Multiscale Latent Variable Regression by Mohamed N. Nounou, Hazem N. Nounou

    Published 2010-01-01
    “…In this paper, this characteristic of multiscale representation is utilized to improve the prediction accuracy of some of the latent variable regression models, such as Principal Component Regression (PCR) and Partial Least Squares (PLS), by developing a multiscale latent variable regression (MSLVR) modeling algorithm. …”
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  2. 2

    Integrated Multiscale Latent Variable Regression and Application to Distillation Columns by Muddu Madakyaru, Mohamed N. Nounou, Hazem N. Nounou

    Published 2013-01-01
    “…Commonly used inferential models include latent variable regression (LVR) techniques, such as principal component regression (PCR), partial least squares (PLS), and regularized canonical correlation analysis (RCCA). …”
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  3. 3

    A data-driven latent variable approach to validating the research domain criteria framework by S. K. L. Quah, B. Jo, C. Geniesse, L. Q. Uddin, J. A. Mumford, D. M. Barch, D. A. Fair, I. H. Gotlib, R. A. Poldrack, M. Saggar

    Published 2025-01-01
    “…To address these concerns, we employ a latent variable approach using bifactor analysis. We examine 84 whole-brain task-based fMRI (tfMRI) activation maps from 19 studies with 6192 participants. …”
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  4. 4

    Using multivariate generalized linear latent variable models to measure the difference in event count for stranded marine animals by R.E. Caraka, R.C. Chen, Y. Lee, T. Toharudin, C. Rahmadi, M. Tahmid, A.S. Achmadi

    Published 2021-01-01
    “…<br /> <strong>RESULTS:</strong> The best theta parameter in the latent multivariate latent generalized linear latent variable model was found in the Akaike Information Criterion, Akaike Information Criterion Corrected and Bayesian Information Criterion values, andthe information obtained was used to create a spatial cluster. …”
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    Development of Integrated Choice and Latent Variable (ICLV) Models Using Matrix-Based Analytic Approximation and Automatic Differentiation Methods on TensorFlow Platform by Jie Ma, Xin Ye, Kun Huang

    Published 2022-01-01
    “…This study further explores the multinomial probit-based integrated choice and latent variable (ICLV) models. The LDLT matrix-based analytic approximation methods, including Mendell and Elston (ME) method, bivariate ME (BME) method, and two-variate bivariate screening (TVBS) method, were adapted to calculate the multivariate cumulative normal distribution (MVNCD) function in the ICLV model because of the better performances in accuracy and computational time. …”
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    The Impact of Perception toward the Built Environment in Airport Access Mode Choice Using Hybrid Choice Modeling by Mahdi Yazdanpanah, Mansour Hadji Hosseinlou

    Published 2017-01-01
    “…For the estimation of the model, a hybrid discrete choice model was used to capture the latent variable, in addition to mode attributes and trip conditions, with 1795 SP observations. …”
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  19. 19

    Marked point process variational autoencoder with applications to unsorted spiking activities. by Ryohei Shibue, Tomoharu Iwata

    Published 2024-12-01
    “…Our model defines the joint mark intensity as a latent variable model, where a neural network decoder transforms a shared latent variable into states and marks. …”
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  20. 20

    The factor structure of the International Trauma Questionnaire – Heywood cases in confirmatory factor analysis by Karen-Inge Karstoft, Erik Vindbjerg, Anni B. S. Nielsen, Søren Bo Andersen, Sofie Folke

    Published 2025-12-01
    “…The specification problems included the latent variable Affect Dysregulation.Conclusions: Based on our results and results reported in previous CFAs of the ITQ, we suggest consideration of the proposed models. …”
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