Ordering Properties of the First Eigenvector of Certain Similarity Matrices by Matthijs J. Warrens, Alexandra de Raadt

“…It is shown for coefficient matrices of Russell-Rao coefficients and two asymmetric Dice coefficients that ordinal information on a latent variable model can be obtained from the eigenvector corresponding to the largest eigenvalue.…”
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Modeling and Reconstruction of Mixed Functional and Molecular Patterns

“…The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB by Maeve McGillycuddy, Gordana Popovic, Benjamin M. Bolker, David I. Warton

“…We apply the reduced-rank random effect to two examples, estimating a generalized latent variable model for multivariate abundance data and a random-slopes model. …”
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Modeling and Reconstruction of Mixed Functional and Molecular Patterns by Yue Wang, Jianhua Xuan, Rujirutana Srikanchana, Peter L. Choyke

“…The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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The role of perceived satisfaction and the built environment on the frequency of cycle-commuting by Tomás Echiburú, Ricardo Hurtubia, Juan Carlos Muñoz

“…The first, a satisfaction latent variable model by mode, confirms previous findings in the literature, such as the correlation between cycling and a more enjoyable experience, while adding some new findings. …”
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From autonomy to community: Advancing the role of psychological factors in sustainable mobility decisions by Pooja Rao, Mohammed Quddus, Washington Y. Ochieng

“…Employing an Integrated Choice Latent Variable Model (ICLVM), the study merges Structural Equation Modeling (SEM) and Multinomial Logit (MNL) approaches to analyze data from a Stated Preference Discrete Choice Experiment involving 557 London residents. …”
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Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept. by Tony C Lee, Matthias Ziegler

“…Participants' tendency to engage in SDR was initially modelled by specifying a latent variable model from Big Five personality scores, using data from 91 participants in a job application simulation (Big Five questionnaire and video introduction). …”
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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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Gut microbial ecology and function of a Pakistani cohort with Iron deficiency Anemia by Hajra Khurshid, Muhammad Bilal Jamshaid, Zahra Salahuudin, Kashaf Sibtain, Iqra Fayyaz, Aqsa Ameer, Caroline Kerbiriou, Shona Mckirdy, Sobia Nawaz Malik, Konstantinos Gerasimidis, Zobia Noreen, Sundus Javed, Aafia Tariq, Umer Zeeshan Ijaz, Aamira Tariq

“…The anemia was linked to different dietary parameters through chi-square test of independence and Generalized Linear Latent Variable Model (GLLVM). Anaerobic bacterial genera such as Coprococcus, Anaerovoracaceae, strongly associated with anemia and negatively correlated with red meat and fish consumption. …”
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Adaptation of Everyday Discrimination Scale (EDS) for Nurses: A Validity and Reliability Study in Turkish by Nazan Ulusoy, Hatice Ulusoy, Albert Nienhaus, Patrick Brzoska

“…Similar to the adaptations of the scale in other countries, measurements with the scale should be analysed using a latent variable model, considering that some error covariances need to be parameterized.…”
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Characterising the latent structure and organisation of self-reported thoughts, feelings and behaviours in adolescents and young adults. by Michelle C St Clair, Sharon Neufeld, Peter B Jones, Peter Fonagy, Edward T Bullmore, Raymond J Dolan, Michael Moutoussis, Umar Toseeb, Ian M Goodyer

“…A bifactor solution was the best fitting latent variable model with one general latent factor termed 'distress' and five 'distress independent' specific factors defined as self-confidence, antisocial behaviour, worry, aberrant thinking, and mood. …”
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The impact of school water, sanitation, and hygiene improvements on infectious disease using serum antibody detection. by Anna N Chard, Victoria Trinies, Delynn M Moss, Howard H Chang, Seydou Doumbia, Patrick J Lammie, Matthew C Freeman

“…Data were analyzed using a linear latent variable model. Antibody evidence of food/water-transmitted enteric disease (change in latent variable mean (β) = -0.24; 95% CI: -0.53, -0.13) and person-to-person transmitted enteric disease (β = -0.17; 95% CI: -0.42, -0.04) was lower among pupils attending beneficiary schools. …”
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Plasma state monitoring and disruption characterization using multimodal VAEs by Yoeri Poels, Alessandro Pau, Christian Donner, Giulio Romanelli, Olivier Sauter, Cristina Venturini, Vlado Menkovski, the TCV Team, the WPTE Team

“…Specifically, we use a latent variable model to represent diagnostic measurements as a low-dimensional, latent representation. …”
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Beyond conditional averages: Estimating the individual causal effect distribution by Post Richard A. J., van den Heuvel Edwin R.

“…Moreover, we present a family of flexible latent variable models that can be used to study individual effect modification and estimate the ICE distribution from cross-sectional data. …”
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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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Appearance Estimation and Image Segmentation via Tensor Factorization by Jeova Farias Sales Rocha Neto

“…Our method uses local high-order color statistics from the image as an input to a tensor factorization-based estimator for latent variable models. This approach is able to estimate models in multi-region images and automatically output the regions' proportions without prior user interaction, overcoming the drawbacks of a prior attempt to this problem. …”
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A meta-analysis and test of the overlap between honor concern, right-wing authoritarianism, and social dominance orientation by Olivia K. Nop, Matthew D. Hammond

“…In Study 2, data collected from online samples from USA and Italy (n = 298) addressed this gap. Latent variable models indicated that group honor concern positively predicted patriotism and negatively predicted general trait aggression, over and above RWA and SDO. …”
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Accounting for BEV Users’ Risk Attitudes and Charging Inertia in En Route Charging Choice Behavior by Zhicheng Jin, Hao Li, Di Chen, Lu Yu, Huizhao Tu

“…ICLV (Integrated choice and latent variable) models are adopted to estimate the latent variables and the charging choice behavior simultaneously. …”
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A New Multidimensional Computerized Testing Approach: On-the-Fly Assembled Multistage Adaptive Testing Based on Multidimensional Item Response Theory by Jingwen Li, Jianan Sun, Mingyu Shao, Yinghui Lai, Chen Chen

“…Multidimensional item response theory (MIRT), a branch of mathematical and statistical latent variable modeling research, has an important position in the international testing field. …”
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A Network Analysis Approach to Religious Commitment, Mental Health, and Well-Being of Indonesian Muslims by Eny Purwandari, Suwanda Priyadi, Taufik Taufik, Arifah Handayani, Astri Yani Calsum, Kenasty Sausan Azmi

“… Previous research has investigated how religious commitment relates to mental health and well-being through correlational studies and latent variable models. However, few studies have employed a network analysis approach to examine the reciprocal interactions among these variables. …”
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