Information and Divergence Measures

The concept of distance is important for establishing the degree of similarity and/or closeness between functions, populations, or distributions. As a result, distances are related to inferential statistics, including problems related to both estimation and hypothesis testing, as well as modelling w...

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Detalhes bibliográficos
Corporate Authors: Karagrigoriou, Alex, Makrides, Andreas
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2023
Assuntos:
bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
bic Book Industry Communication::P Mathematics & science::PH Physics
exponential family
statistical divergence
truncated exponential family
truncated normal distributions
double index divergence test statistic
multivariate data analysis
conditional independence
cross tabulations
extremal combinatorics
graphs
Han’s inequality
information inequalities
polymatroid
rank function
set function
Shearer’s lemma
submodularity
empirical survival Jensen–Shannon divergence
Kolmogorov–Smirnov two-sample test
skew logistic distribution
bi-logistic growth
epidemic waves
COVID-19 data
Rényi’s pseudodistance
minimum Rényi’s pseudodistance estimators
restricted minimum Rényi’s pseudodistance estimators
Rao-type tests
divergence-based tests
Multivariate Cauchy distribution (MCD)
Kullback–Leibler divergence (KLD)
multiple power series
Lauricella D-hypergeometric series
statistical K-means
academic evaluation
statistical manifold
clustering
concomitants
GOS
FGM family
Shannon entropy
Tsallis entropy
Awad entropy
residual entropy
past entropy
Fisher–Tsallis information number
Tsallis divergence
bootstrap discrepancy comparison probability (BDCP)
discrepancy comparison probability (DCP)
likelihood ratio test (LRT)
model selection
p-value
LPI
radar waveform
passive interception systems
Kullback–Leibler divergence
joint entropy
Tsallis logarithm
Kaniadakis logarithm
weighted Tsallis divergence
weighted Kaniadakis divergence
geodesic
Fisher information
differential geometry
transversality
multivariate Gaussian
n/a
moment condition models
divergences
robustness
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/113909
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