Results 61 to 70 of about 62,209 (271)
XML Compression via Directed Acyclic Graphs [PDF]
Theory of Computing Systems, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bousquet-Mélou, Mireille +3 more
openaire +2 more sources
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Psychological distress and mother-child relationship: influence of life context on a population sample (BRISA) through the use of directed acyclic graphs (DAG) [PDF]
Brazilian Journal of Medical and Biological ResearchThis study aimed to investigate the association between maternal psychological distress and impairment in mother-child relationship in a sample from a Northeast capital city in Brazil with a low Human Development Index, using directed acyclic graphs (DAG)
M.C.V. Cavalcante +6 more
doaj +2 more sources
The bayesvl package: An R package for implementing and visualizing Bayesian statistics
SoftwareX, 2022 The bayesvl R package implements Bayesian analysis using the Stan’s no-U-turn sampler (NUTS). Two distinguished functions that the bayesvl package complements to other developed packages and software performing Bayesian analysis are the “relationship ...
Viet-Phuong La +5 more
doaj +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation
Applied Artificial Intelligence, 2019 PC is a prototypical constraint-based algorithm for learning Bayesian networks, a special case of directed acyclic graphs. An existing variant of it, in the R package pcalg, was developed to make the skeleton phase order independent.
Michail Tsagris
doaj +1 more source
Adjustment for collider bias in the hospitalized Covid-19 setting
Global Epidemiology, 2023 Background: Causal directed acyclic graphs (cDAGs) are frequently used to identify confounding and collider bias. We demonstrate how to use causal directed acyclic graphs to adjust for collider bias in the hospitalized Covid-19 setting.
Moslem Taheri Soodejani +4 more
doaj +1 more source
Planar digraphs without large acyclic sets
, 2016 Given a directed graph, an acyclic set is a set of vertices inducing a subgraph with no directed cycle. In this note we show that there exist oriented planar graphs of order $n$ for which the size of the maximum acyclic set is at most $\lceil \frac{n+1 ...
Knauer, Kolja +2 more
core +3 more sources
American Journal of Community Psychology, EarlyView.Abstract This study investigates the longitudinal impact of socioeconomic instability on teen pregnancy and sexually transmitted infection (STI) diagnosis among adolescents and young adults (AYA) living in an agricultural region and examines pathways including supportive family and social structures, decision making autonomy in romantic relationships ...
Marie C. D. Stoner +11 more
wiley +1 more source
Causal Discovery with Continuous Additive Noise Models [PDF]
, 2014 We consider the problem of learning causal directed acyclic graphs from an observational joint distribution. One can use these graphs to predict the outcome of interventional experiments, from which data are often not available.
Janzing, Dominik +3 more
core +5 more sources