Catálogo de publicaciones - libros

Compartir en
redes sociales


Título de Acceso Abierto

Causal Inference for Heterogeneous Data and Information Theory

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

common hidden cause; graphical models; probabilistic models; Chain Event Graphs; interventions; causal calculus; causal fairness; responsible data science; causal discovery; Hawkes process; high-dimensional statistics; hidden confounder; causality; Bitcoin; inflation; yield spreads; approximation theory; Hellinger distance; Kullback–Leibler divergence; correct specification; misspecified models; causal inference; instrumental variables; neural networks; doubly robust estimation; semi-parametric theory; instrumental variable; causal graph; non-Gaussianity; causal graphs; dynamic systems; causal learning; time; continuous; event cognition; econometrics software; causal machine learning; statistical learning; conditional average treatment effects; individualized treatment effects; multiple treatments; selection-on-observables; piecewise linear; thresholds model; causal Inference; regularization; BART; Stan; machine learning; heterogeneous treatment effects; multilevel data; grouped data; artificial intelligence; higher-order category theory; statistics; n/a

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No requiere Directory of Open access Books acceso abierto

Información

Tipo de recurso:

libros

País de edición

Suiza