An efficient entropy-based causal discovery method for linear structural equation models with IID noise variables
The discovery of causal relationships from the observational data is an important task. To
identify the unique causal structure belonging to a Markov equivalence class, a number of …
identify the unique causal structure belonging to a Markov equivalence class, a number of …
Detecting heterogeneity in the causal direction of dependence: A model-based recursive partitioning approach
Methods of causal discovery and direction of dependence to evaluate causal properties of
variable relations have experienced rapid development. The majority of causal discovery …
variable relations have experienced rapid development. The majority of causal discovery …
Third moment-based causal inference
W Wiedermann - Behaviormetrika, 2022 - Springer
In observational data, covariance-based measures of dependence are of limited use for
detecting reverse-causation (using y→ x instead of x→ y when quantifying the causal effect) …
detecting reverse-causation (using y→ x instead of x→ y when quantifying the causal effect) …
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples
Abstract Linear non-Gaussian Acyclic Model (LiNGAM) is a well-known model for causal
discovery from observational data. Existing estimation methods are usually based on infinite …
discovery from observational data. Existing estimation methods are usually based on infinite …
Procesamiento de señales de vibración mediante Descomposición Modal Empírica (EMD) para la extracción de características con fines de diagnóstico de fallos en …
CE Granda Ordoñez - 2017 - dspace.ups.edu.ec
El estudio de la fiabilidad de los equipos industriales ha hecho posible la creación de los
diferentes tipos de mantenimiento, como es el caso del mantenimiento predictivo que ha …
diferentes tipos de mantenimiento, como es el caso del mantenimiento predictivo que ha …