Results 31 to 40 of about 25,555 (257)
Recovering Latent Variables by Matching [PDF]
Journal of the American Statistical Association, 2020 We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables. The method consists in generating pseudo-observations from the latent variables, so that the Euclidean distance between the model's predictions and their matched counterparts in the data is minimized.
Arellano, Manuel, Bonhomme, Stéphane
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MEASUREMENT MODEL OF BEHAVIORAL INTENTION TO SUBSCRIBE YOUTUBE CHANNEL CONTENT USING UTAUT 2 MODEL [PDF]
Russian Journal of Agricultural and Socio-Economic Sciences, 2019 This study research about measurement model of behavioral intention to subscribe YouTube Channel content named Kidz with SEM-PLS. Kidz is a Youtube Channel content that share videos for kids. The samples of this research were Kidz users aged 7-12 through
Putri M.K.N. +2 more
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Engineering Reports, 2022 It is known that how individuals perceive the situation result in choices. However, it is unknown, how drivers process the information of vehicle malfunctions based on the situation at hand.
Mahdi Rezapour, Khaled Ksaibati
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Recently, there has been a focus on drawing progress on representation learning to obtain more identifiable and interpretable latent representations for spike trains, which helps analyze neural population activity and understand neural mechanisms.
Yicong Huang, Zhu Liang Yu
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Tensors and Latent Variable Models [PDF]
, 2015 In this paper we discuss existing and new connections between latent variable models from machine learning and tensors multi-way arrays from multilinear algebra. A few ideas have been developed independently in the two communities. However, there are still many useful but unexplored links and ideas that could be borrowed from one of the communities and
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Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Latent variable modelling by supervised diffusion
International Review of Economics & FinanceLatent variables are used in many prominent models in economics and finance. Yet the standard methodologies for estimating latent variables often produce sub-optimal results in inferential settings.
Daniil Bargman
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Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Bayesian latent variable models for collaborative item rating prediction [PDF]
, 2011 Collaborative filtering systems based on ratings make it easier for users to find content of interest on the Web and as such they constitute an area of much research.
Harvey, Morgan Alexander +9 more
core +1 more source