Results 31 to 40 of about 729,681 (329)

Multilevel (ML-ICLV) & Single Level Integrated Discrete Choice and Latent Variable (ICLV) Models Using Alternative Latent Structures' Conceptualizations [PDF]

open access: yes, 1951
The aim of the present endeavor is to experiment on integrating discrete choice with latent variable (ICVL) models using alternative factorial structures’ conceptualizations and do so at both Single Level (Level 0) and Multilevel (ML-ICVL).
Chrysochoidis, Georgios, Wilson, Charlie
core   +1 more source

A Transformer-Based Hierarchical Variational AutoEncoder Combined Hidden Markov Model for Long Text Generation

open access: yesEntropy, 2021
The Variational AutoEncoder (VAE) has made significant progress in text generation, but it focused on short text (always a sentence). Long texts consist of multiple sentences.
Kun Zhao   +3 more
doaj   +1 more source

Latent Variable Forests for Latent Variable Score Estimation

open access: yesEducational and Psychological Measurement
We develop a latent variable forest (LV Forest) algorithm for the estimation of latent variable scores with one or more latent variables. LV Forest estimates unbiased latent variable scores based on confirmatory factor analysis (CFA) models with ordinal and/or numerical response variables.
Classe, Franz, Kern, Christoph
openaire   +2 more sources

Multimodal latent variable analysis [PDF]

open access: yesSignal Processing, 2018
Consider a set of multiple, multimodal sensors capturing a complex system or a physical phenomenon of interest. Our primary goal is to distinguish the underlying sources of variability manifested in the measured data. The first step in our analysis is to find the common source of variability present in all sensor measurements.
Papyan, Vardan, Talmon, Ronen
openaire   +2 more sources

Latent Variable Nonparametric Cointegrating Regression [PDF]

open access: yesSSRN Electronic Journal, 2017
This article studies the asymptotic properties of empirical nonparametric regressions that partially misspecify the relationships between nonstationary variables. In particular, we analyze nonparametric kernel regressions in which a potential nonlinear cointegrating regression is misspecified through the use of a proxy regressor in place of the true ...
Wang, Qiying   +2 more
openaire   +4 more sources

Statistical Modeling of Phenotypic Plasticity under Abiotic Stress in Triticum durum L. and Triticum aestivum L. Genotypes

open access: yesAgronomy, 2018
Future challenges to the role of durum and bread wheat in global food security will be shaped by their potential to produce larger yields and better nutritional quality, while increasingly adapting to multiple biotic and abiotic stresses in the view of ...
Abdullah A. Jaradat
doaj   +1 more source

Low-Dimensional Dynamics of Brain Activity Associated with Manual Acupuncture in Healthy Subjects

open access: yesSensors, 2021
Acupuncture is one of the oldest traditional medical treatments in Asian countries. However, the scientific explanation regarding the therapeutic effect of acupuncture is still unknown.
Xinmeng Guo, Jiang Wang
doaj   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

open access: yesMolecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley   +5 more
wiley   +1 more source

Modeling Latent Variable Uncertainty for Loss-based Learning [PDF]

open access: yes, 2012
We consider the problem of parameter estimation using weakly supervised datasets, where a training sample consists of the input and a partially specified annotation, which we refer to as the output.
Koller, Daphne   +2 more
core   +4 more sources

A geoadditive Bayesian latent variable model for Poisson indicators [PDF]

open access: yes, 2006
We introduce a new latent variable model with count variable indicators, where usual linear parametric effects of covariates, nonparametric effects of continuous covariates and spatial effects on the continuous latent variables are modelled through a ...
Fahrmeir, Ludwig, Steinert, Sven
core   +3 more sources

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