Results 61 to 70 of about 1,964,226 (308)
An Upper Bound for Random Measurement Error in Causal Discovery [PDF]
, 2018 Causal discovery algorithms infer causal relations from data based on several assumptions, including notably the absence of measurement error. However, this assumption is most likely violated in practical applications, which may result in erroneous ...
Blom, Tineke +3 more
core +1 more source
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables [PDF]
, 2020 Given a response $Y$ and a vector $X = (X^1, \dots, X^d)$ of $d$ predictors, we investigate the problem of inferring direct causes of $Y$ among the vector $X$. Models for $Y$ that use all of its causal covariates as predictors enjoy the property of being
Christiansen, Rune, Peters, Jonas
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Space‐Time Causal Discovery in Earth System Science: A Local Stencil Learning Approach
Journal of Geophysical Research: Machine Learning and ComputationCausal discovery tools enable scientists to infer meaningful relationships from observational data, spurring advances in fields as diverse as biology, economics, and climate science.
J. Jake Nichol +5 more
doaj +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 +3 more sources
Design Drives Discovery in Causal Learning [PDF]
Psychological Science, 2020 We assessed whether an artifact’s design can facilitate recognition of abstract causal rules. In Experiment 1, 152 three-year-olds were presented with evidence consistent with a relational rule (i.e., pairs of same or different blocks activated a machine) using two differently designed machines.
Caren M. Walker +2 more
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura +5 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez +13 more
wiley +1 more source
A Logical Characterization of Constraint-Based Causal Discovery [PDF]
, 2011 We present a novel approach to constraint-based causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about causal relations that are derived directly from observed (in)dependencies ...
Claassen, Tom, Heskes, Tom
core +2 more sources
Comparing Causal Bayesian Networks Estimated from Data
EntropyThe knowledge of the causal mechanisms underlying one single system may not be sufficient to answer certain questions. One can gain additional insights from comparing and contrasting the causal mechanisms underlying multiple systems and uncovering ...
Sisi Ma, Roshan Tourani
doaj +1 more source