top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Divergence Measures : Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems
Divergence Measures : Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems
Autore Sason Igal
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (256 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato Bregman divergence
f-divergence
Jensen-Bregman divergence
Jensen diversity
Jensen-Shannon divergence
capacitory discrimination
Jensen-Shannon centroid
mixture family
information geometry
difference of convex (DC) programming
conditional Rényi divergence
horse betting
Kelly gambling
Rényi divergence
Rényi mutual information
relative entropy
chi-squared divergence
f-divergences
method of types
large deviations
strong data-processing inequalities
information contraction
maximal correlation
Markov chains
information inequalities
mutual information
Rényi entropy
Carlson-Levin inequality
information measures
hypothesis testing
total variation
skew-divergence
convexity
Pinsker's inequality
Bayes risk
statistical divergences
minimum divergence estimator
maximum likelihood
bootstrap
conditional limit theorem
Bahadur efficiency
α-mutual information
Augustin-Csiszár mutual information
data transmission
error exponents
dimensionality reduction
discriminant analysis
statistical inference
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Divergence Measures
Record Nr. UNINA-9910576871103321
Sason Igal  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Statistical Foundations of Entropy
The Statistical Foundations of Entropy
Autore Jizba Petr
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (182 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato ecological inference
generalized cross entropy
distributional weighted regression
matrix adjustment
entropy
critical phenomena
renormalization
multiscale thermodynamics
GENERIC
non-Newtonian calculus
non-Diophantine arithmetic
Kolmogorov-Nagumo averages
escort probabilities
generalized entropies
maximum entropy principle
MaxEnt distribution
calibration invariance
Lagrange multipliers
generalized Bilal distribution
adaptive Type-II progressive hybrid censoring scheme
maximum likelihood estimation
Bayesian estimation
Lindley's approximation
confidence interval
Markov chain Monte Carlo method
Rényi entropy
Tsallis entropy
entropic uncertainty relations
quantum metrology
non-equilibrium thermodynamics
variational entropy
rényi entropy
tsallis entropy
landsberg-vedral entropy
gaussian entropy
sharma-mittal entropy
α-mutual information
α-channel capacity
maximum entropy
Bayesian inference
updating probabilities
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566461703321
Jizba Petr  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui