LEADER 04049nam  2200961z- 450 
001 9910576871103321
005 20220621
035   $a(CKB)5720000000008465
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84568
035   $a(oapen)doab84568
035   $a(EXLCZ)995720000000008465
100   $a20202206d2022      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aDivergence Measures$eMathematical Foundations and Applications in Information-Theoretic and Statistical Problems
210   $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022
215   $a1 online resource (256 p.)
311 08$a3-0365-4332-5 
311 08$a3-0365-4331-7 
330   $aData science, information theory, probability theory, statistical learning and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures. These are known as divergence measures, and exploring their mathematical foundations and diverse applications is of significant interest. The present Special Issue, entitled "Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems", includes eight original contributions, and it is focused on the study of the mathematical properties and applications of classical and generalized divergence measures from an information-theoretic perspective. It mainly deals with two key generalizations of the relative entropy: namely, the R_e?nyi divergence and the important class of f -divergences. It is our hope that the readers will find interest in this Special Issue, which will stimulate further research in the study of the mathematical foundations and applications of divergence measures.
517   $aDivergence Measures 
606   $aMathematics & science$2bicssc
606   $aResearch & information: general$2bicssc
610   $aAugustin-Csisza?r mutual information
610   $aBahadur efficiency
610   $aBayes risk
610   $abootstrap
610   $aBregman divergence
610   $acapacitory discrimination
610   $aCarlson-Levin inequality
610   $achi-squared divergence
610   $aconditional limit theorem
610   $aconditional Re?nyi divergence
610   $aconvexity
610   $adata transmission
610   $adifference of convex (DC) programming
610   $adimensionality reduction
610   $adiscriminant analysis
610   $aerror exponents
610   $af-divergence
610   $af-divergences
610   $ahorse betting
610   $ahypothesis testing
610   $ainformation contraction
610   $ainformation geometry
610   $ainformation inequalities
610   $ainformation measures
610   $aJensen diversity
610   $aJensen-Bregman divergence
610   $aJensen-Shannon centroid
610   $aJensen-Shannon divergence
610   $aKelly gambling
610   $alarge deviations
610   $aMarkov chains
610   $amaximal correlation
610   $amaximum likelihood
610   $amethod of types
610   $aminimum divergence estimator
610   $amixture family
610   $amutual information
610   $an/a
610   $aPinsker's inequality
610   $arelative entropy
610   $aRe?nyi divergence
610   $aRe?nyi entropy
610   $aRe?nyi mutual information
610   $askew-divergence
610   $astatistical divergences
610   $astatistical inference
610   $astrong data-processing inequalities
610   $atotal variation
610   $a?-mutual information
615  7$aMathematics & science
615  7$aResearch & information: general
700   $aSason$b Igal$4edt$0625922
702   $aSason$b Igal$4oth
906   $aBOOK
912   $a9910576871103321
996   $aDivergence Measures$93023147
997   $aUNINA