Results 51 to 60 of about 1,514,883 (344)
, 2017 Latent tree models are graphical models defined on trees, in which only a subset of variables is observed. They were first discussed by Judea Pearl as tree-decomposable distributions to generalise star-decomposable distributions such as the latent class ...
Zwiernik, Piotr
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Fault Lines Among Asian Americans: Convergence and Divergence in Policy Opinion
RSF: The Russell Sage Foundation Journal of the Social Sciences, 2021 Sociologists have long argued that a racial and ethnic category can be made under certain circumstances and remade under anothers. The panethnic category of Asian American was in fact devised to mobilize different immigrant-origin groups in the 1960s ...
Sunmin Kim
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A Stochastic Volatility Model With Realized Measures for Option Pricing [PDF]
, 2019 Based on the fact that realized measures of volatility are affected by measurement errors, we introduce a new family of discrete-time stochastic volatility models having two measurement equations relating both observed returns and realized measures to ...
Bormetti, G. +3 more
core +5 more sources
BMC Bioinformatics, 2011 Background Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1 million genetic markers) and its complexity make the statistical analysis a
Leray Philippe +2 more
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, 2016 We discuss Bayesian analysis of multivariate time series with dynamic factor models that exploit time-adaptive sparsity in model parametrizations via the latent threshold approach.
Nakajima, Jouchi, West, Mike
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Ten Frequently Asked Questions About Latent Class Analysis
Translational Issues in Psychological Science, 2018 Latent class analysis (LCA) is a statistical method used to identify unobserved subgroups in a population with a chosen set of indicators. Given the increasing popularity of LCA, our aim is to equip psychological researchers with the theoretical and ...
Karen Nylund-Gibson, A. Choi
semanticscholar +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
Strength through diversity: how cancers thrive when clones cooperate
Molecular Oncology, EarlyView.Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data
Journal of Statistical Software, 2018 The analysis of binary three-way data (i.e., persons who indicate which attributes apply to each of a set of objects) may be of interest in several substantive domains as sensory profiling, marketing research or personality assessment.
Michel Meulders, Philippe De Bruecker
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Bayesian Variable Selection for Latent Class Models [PDF]
Biometrics, 2010 In this article we develop a latent class model with class probabilities that depend on subject-specific covariates. One of our major goals is to identify important predictors of latent classes. We consider methodology that allows estimation of latent classes while allowing for variable selection uncertainty.
Ghosh, Joyee +2 more
openaire +3 more sources