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Causal Inference for Heterogeneous Data and Information Theory

The present reprint, “Causal Inference for Heterogeneous Data and Information Theory”, is a special issue of Journal Entropy. This Special Issue belongs to the section "Information Theory, Probability, and Statistics". The reprint gathers thirteen original contributions of leading experts in the the...

पूर्ण विवरण

में बचाया:
स्वरूप: Online
भाषा:अंग्रेज़ी
प्रकाशित: MDPI - Multidisciplinary Digital Publishing Institute 2023
विषय:
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
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
thema EDItEUR::U Computing and Information Technology::UY Computer science
ऑनलाइन पहुंच:ONIX_20230808_9783036580500_27
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