Results 11 to 20 of about 679,297 (329)
Incremental Learning of Latent Forests
IEEE Access, 2020 In the analysis of real-world data, it is useful to learn a latent variable model that represents the data generation process. In this setting, latent tree models are useful because they are able to capture complex relationships while being easily ...
Fernando Rodriguez-Sanchez +2 more
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The Q-Matrix Anchored Mixture Rasch Model
Frontiers in Psychology, 2021 Mixture item response theory (IRT) models include a mixture of latent subpopulations such that there are qualitative differences between subgroups but within each subpopulation the measure model based on a continuous latent variable holds.
Ming-Chi Tseng, Wen-Chung Wang
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TPLVM: Portfolio Construction by Student’s t-Process Latent Variable Model
Mathematics, 2020 Optimal asset allocation is a key topic in modern finance theory. To realize the optimal asset allocation on investor’s risk aversion, various portfolio construction methods have been proposed.
Yusuke Uchiyama, Kei Nakagawa
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Journal of Intelligence, 2021 In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence.
Christopher J. Schmank +3 more
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The use of latent variable models in policy: A road fraught with peril?
Bio-based and Applied Economics, 2020 This paper explores the potential usefulness and possible pitfalls of using integrated choice and latent variable models (hybrid choice models) on stated choice data to inform policy.
Danny Campbell, Erlend Dancke Sandorf
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Machines, 2021 Due to the ubiquitous dynamics of industrial processes, the variable time lag raises great challenge to the high-precision industrial process monitoring.
Ning Chen +5 more
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Journal of Biostatistics and Epidemiology, 2023 Background: A common way for computing test-retest reliability is Intra Class Correlation which was developed for continuous variables. But it widely used to assess test-retest reliability in questionnaires with Likert scales.
Samira Chaibakhsh, Asma Poorhosseingholi
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A New Extension of the Binomial Error Model for Responses to Items of Varying Difficulty in Educational Testing and Attitude Surveys. [PDF]
PLoS ONE, 2015 We put forward a new item response model which is an extension of the binomial error model first introduced by Keats and Lord. Like the binomial error model, the basic latent variable can be interpreted as a probability of responding in a certain way to ...
James A Wiley +3 more
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Dirichlet latent variable model : a dynamic model based on Dirichlet prior for audio processing [PDF]
, 2019 We propose a dynamic latent variable model for learning latent bases from time varying, non-negative data. We take a probabilistic approach to modeling the temporal dependence in data by introducing a dynamic Dirichlet prior – a Dirichlet distribution ...
Ghosh, Prasanta K. +2 more
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Econometrics, 2019 It is customary to assume that an indicator of a latent variable is driven by the latent variable and some random noise. In contrast, a background indicator is also systematically influenced by variables outside the structural model of interest ...
Burkhard Raunig
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