Catálogo de publicaciones - libros
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 |
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No requiere | Directory of Open access Books |
Información
Tipo de recurso:
libros
País de edición
Suiza