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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The indirect effects of school bullying on mathematics achievement: the mediating roles of teacher-student relationships, sense of belonging and differences between genders by Rongrong Ren, Wei Chen, Shouying Zhao

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Active transportation is associated with lower obesity risk: generalized structural equations model applied to physical activity by Fabian Leonardo Muñoz, Sonia Alejandra Pou, Humberto Llinas Solano, María del Pilar Diaz

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A study of Filipina migrant workers’ subjective health in Hong Kong and an assessment of eight scoring methods for the 12-Item Short Form Health Survey (SF-12) by Tim F. Liao, Rebecca Yiqing Gan

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

“…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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Attachment Styles, Personality, and Frustration Intolerance by Christian Schetsche, Alba E. Mustaca

“…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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The Role of Incubators in Promoting Innovation Ambidexterity Among Start-Ups in the Tourism and Hospitality Industry by Álvaro DIAS, Carolina CAMAL, Bruno SOUSA, Leandro PEREIRA

“…Methodology/Design/Approach - Survey data from early-stage tourism and hospitality firms were analyzed using latent variable modeling and Importance-Performance Matrix Analysis (IPMA). …”
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Unsupervised data imputation with multiple importance sampling variational autoencoders by Shenfen Kuang, Yewen Huang, Jie Song

“…Abstract Recently, deep latent variable models have made significant progress in dealing with missing data problems, benefiting from their ability to capture intricate and non-linear relationships within the data. …”
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