Titlebook: Machine Learning, Optimization, and Data Science; 6th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202

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Julia Krützmann,Alexander Schiendorfer,Sergej Beratz,Judith Moosburger-Will,Wolfgang Reif,Siegfried of the theory of martingales in a Banach space. After this work the theory of the set-valued martingale was studied by several authors such as Neveu [157], Daures [54]. However, owing to the limit of the definition of conditional expectation defined by Van Cutsem the study was restricted to the case

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SOB

Jimiama Mafeni Mase,Peter Chapman,Grazziela P. Figueredo,Mercedes Torres Torresle, the definition of Markov chain with the help of its transition matrix. However, it was only in connection with the demands of statistical physics, in particular, with those of the strict definition of Gibbs random field the wide possibilities of this approach were cleared up. Below we will descr

Harridan

Abhay Harpalele, the definition of Markov chain with the help of its transition matrix. However, it was only in connection with the demands of statistical physics, in particular, with those of the strict definition of Gibbs random field the wide possibilities of this approach were cleared up. Below we will descr

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Nima Nabizadeh,Martin Heckmann,Dorothea Kolossa Markov chains for stochastic of or dynamical by describing properties systems, of Perron- Frobenius has been demonstrated in several All use a operator, papers. these works share the features the features that must be same specific general ; used in each stem from the nature of the functional parti

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Per-Arne Andersen,Morten Goodwin,Ole-Christoffer Granmo Markov chains for stochastic of or dynamical by describing properties systems, of Perron- Frobenius has been demonstrated in several All use a operator, papers. these works share the features the features that must be same specific general ; used in each stem from the nature of the functional parti

Electrolysis

Vladimir Soloviev,Nikita Titov,Elena Smirnova classical setting.Offers a modern approach.Includes supplem.Presenting the first unified treatment of limit theorems for multiple sums of independent random variables, this volume fills an important gap in the field. Several new results are introduced, even in the classical setting, as well as some

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Jose Cruz,Wilson Mamani,Christian Romero,Ferdinand Pineda field. Several new results are introduced, even in the classical setting, as well as some new approaches that are simpler than those already established in the literature. In particular, new proofs of the strong law of large numbers and the Hajek-Renyi inequality are detailed. Applications of the d

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Abhinav Raj,Subhankar Mishraemanding, Russian literature in detail.Coverage is thorough,.Limit theorems for stochastic processes are an important part of probability theory and mathematical statistics and one model that has attracted the attention of many researchers working in the area is that of limit theorems for randomly s