Results 31 to 40 of about 475,024 (262)

Relative influence of genetics and shared environment on child mental health symptoms depends on comorbidity. [PDF]

open access: yesPLoS ONE, 2014
Comorbidity among childhood mental health symptoms is common in clinical and community samples and should be accounted for when investigating etiology.
Matthew K Vendlinski   +6 more
doaj   +1 more source

Gaussian process latent class choice models

open access: yesTransportation Research Part C: Emerging Technologies, 2022
We present a Gaussian Process - Latent Class Choice Model (GP-LCCM) to integrate a non-parametric class of probabilistic machine learning within discrete choice models (DCMs). Gaussian Processes (GPs) are kernel-based algorithms that incorporate expert knowledge by assuming priors over latent functions rather than priors over parameters, which makes ...
Sfeir, Georges   +2 more
openaire   +3 more sources

Latent tree models

open access: yes, 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
core   +1 more source

Analysis and modeling of trucks travel choice preference under differentiated charging

open access: yesShenzhen Daxue xuebao. Ligong ban, 2023
To study the impact of expressway differentiated charging on the travel choice behavior of truck drivers, this paper combines the multinomial logit (MNL) model, the nested logit (NL) model and the latent class model based on the theoretical framework of ...
KONG Dexue   +3 more
doaj   +1 more source

A comparison of numerical splitting-based methods for Markovian dependability and performability models [PDF]

open access: yes, 1998
Iterative numerical methods are an important ingredient for the solution of continuous time Markov dependability models of fault-tolerant systems. In this paper we make a numerical comparison of several splitting-based iterative methods. We consider the
Carrasco, Juan A., Suñé, Víctor
core   +1 more source

A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies

open access: yesBMC 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
doaj   +1 more source

A Stochastic Volatility Model With Realized Measures for Option Pricing [PDF]

open access: yes, 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

Identifiability of Latent Class Models with Covariates

open access: yesPsychometrika, 2022
AbstractLatent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5–32, 2004) studied ...
Jing Ouyang, Gongjun Xu
openaire   +3 more sources

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular 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

Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib

open access: yesMolecular Oncology, EarlyView.
WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute   +17 more
wiley   +1 more source

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