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

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

“…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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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

“…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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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

“…<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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Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems by Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl AlQahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah

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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

“…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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Developing a Variation Index for Understanding Step Characteristics in the Long Jump Approach Run by Ankur Jyoti Phukon, Krishnendu Dhar

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Quality Measurement of the latent Properties of Students Educational and Projecting Activity in Vocational Pedagogical Universities by T. V. Shutova

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Understanding the reliability of citizen science observational data using item response models by Edgar Santos‐Fernandez, Kerrie Mengersen

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THEORETICAL AND PRACTICAL ASPECTS OF IDENTIFICATION AND EVALUATION OF SCHOOL EDUCATION QUALITY by N. Y. Yerganova, L. V. Kolyasnikova, Y. V. Igonina

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Network inference with hidden units by Joanna Tyrcha, John Hertz

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Liminality and the possibilities for sex and romance at an international bike meeting: a structural modeling approach by Milene Lança, João Filipe Marques, Patrícia Pinto

Subjects: “…structural equation modeling with latent variables…”
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Measurement model of professor professional work by L. . Letova

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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

“…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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A Behavioral Model of Drivers’ Mean Speed Influenced by Weather Conditions, Road Geometry, and Driver Characteristics Using a Driving Simulator Study by Mehdi Zolali, Babak Mirbaha, Maziyar Layegh, Hamid Reza Behnood

“…Eleven variables were grouped into four latent variables in the structural model. Latent variables including “Novice Drivers,” “Experienced Drivers,” “Sight Distance,” and “Geometric Design” were defined and found significant on their mean speed. …”
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Attachment Styles, Personality, and Frustration Intolerance by Christian Schetsche, Alba E. Mustaca

“…The Argentine Attachment Styles Scale, the Eysenck Revised Personality Questionnaire (EPQ-RA), and the Frustration Intolerance Scale (EIF) was used. In the two Full Latent Variable Models developed, it was determined that neuroticism and avoidant attachment had the greatest mediating effects on FI. …”
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Graph-based service recommendation in Social Internet of Things by Yuanyi Chen, Yanyun Tao, Zengwei Zheng, Dan Chen

“…More exactly, we learn user’s preference from his or her object usage events with a latent variable model. Then, we model users, objects, and their relationships with a knowledge graph and regard Social Internet of Things service recommendation as a knowledge graph completion problem, where the “like” property that connects users to services needs to be predicted. …”
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Robust identification for input non‐uniformly sampled Wiener model by the expectation‐maximisation algorithm by Qibing Jin, Zeyu Wang

“…The variance scale is regarded as a unique latent variable, and the iterative parameter estimation formula of the non‐uniform sampling Wiener model is derived. …”
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Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks by Enming Dong, Jianping Li, Zheng Xie

“…We use this insight to give a probabilistic latent variable model for finding missing links by convex nonnegative matrix factorization with block detection. …”
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Pemodelan Kausal Faktor-Faktor Beban Keluarga dalam Merawat Pasien Kanker Menggunakan Algoritma S3C-Latent by Rizki Surtiyan Surya, Christantie Effendy, Ridho Rahmadi

“…Penelitian ini menggunakan algoritma pemodelan kausal bernama Stable Specification Search for Cross-sectional Data with Latent Variable (S3C-Latent) untuk mendapatkan model kausal antara faktor-faktor beban family caregiver yang relevan. …”
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