Results 41 to 50 of about 6,110,460 (312)
Latent Variable Forests for Latent Variable Score Estimation
Educational and Psychological MeasurementWe 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]
Signal 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
COVID-19 Incidence in Europe: Drivers and Government Interventions
Transylvanian Review of Administrative Sciences, 2020 This study aims to identify the determinant country-level factors that impact the trend of registered death cases from the recently emerged infectious disease COVID-19, analyzing data from March 2020 to July 2020, for 40 European countries.
Dan Lupu +2 more
doaj +1 more source
Method for estimating disease risk from microbiome data using structural equation modeling
Frontiers in Microbiology, 2023 The relationship between the human gut microbiota and disease is of increasing scientific interest. Previous investigations have focused on the differences in intestinal bacterial abundance between control and affected groups to identify disease ...
Hidetaka Tokuno +6 more
doaj +1 more source
A geoadditive Bayesian latent variable model for Poisson indicators [PDF]
, 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
Latent Variable Nonparametric Cointegrating Regression [PDF]
SSRN 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
Partial disentanglement of hierarchical variational auto‐encoder for texture synthesis
IET Computer Vision, 2020 Multiple research studies have recently demonstrated deep networks can generate realistic‐looking textures and stylised images from a single texture example. However, they suffer from some drawbacks.
Marek Jakab, Lukas Hudec, Wanda Benesova
doaj +1 more source
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
, 2019 Generative Adversarial networks (GANs) have obtained remarkable success in many unsupervised learning tasks and unarguably, clustering is an important unsupervised learning problem.
Asnani, Himanshu +3 more
core +1 more source
Assessing the Relationship between Sea Turtle Strandings and Anthropogenic Impacts in Taiwan
Journal of Marine Science and Engineering, 2023 Data acquired from stranded sea turtles can provide awareness of human activities that adversely affect sea turtle populations. We assessed strandings of five sea turtle species between 2017 and 2021. This study utilizes principal component analysis (PCA)
Wei-Rung Chou, Po-Yu Wu, Tsung-Hsien Li
doaj +1 more source
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source