Algorithms in Bioinformatics: Theory and Implementation / Paul A. Gagniuc
Explores a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of ...
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An Introduction to Markov Processes
Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject ...
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Arithmetical Investigations : Representation Theory, Orthogonal Polynomials, and Quantum Interpolations
In this volume the author further develops his philosophy of quantum interpolation between the real numbers and the p-adic ...
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Dependence in Probability and Statistics
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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Dependence in Probability and Statistics
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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Discrete-Time Markov Chains
The motivation stems from existing and emerging applications in optimization and control of complex hybrid Markovian systems ...
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Eigenvalues, Inequalities, and Ergodic Theory
A problem of broad interest – the estimation of the spectral gap for matrices or differential operators (Markov chains ...
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Empirical Techniques in Finance
This book offers the opportunity to study and experience advanced empi- cal techniques in finance and in general financial ...
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Evolution Algebras and their Applications
Behind genetics and Markov chains, there is an intrinsic algebraic structure. It is defined as a type of new algebra: as ...
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Formal Approaches to Software Testing (vol. # 3997)
This book constitutes the thoroughly refereed post-proceedings of the 5th International Workshop on Formal Approaches to ...
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Formal Approaches to Software Testing and Runtime Verification
Software validation is one of the most cost-intensive tasks in modern software production processes. The objective of FATES/RV ...
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Fuzzy Probabilities
In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a ...
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Introduction to Discrete Event Systems
Introduction to Discrete Event Systems is a comprehensive introduction to the field of discrete event systems, offering a ...
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Le raisonnement bayésien : Modélisation et inférence = Bayesian reasoning: Modeling and inference
This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
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Lectures on Probability Theory and Statistics
This volume contains two of the three lectures that were given at the 33rd Probability Summer School in Saint-Flour (July ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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Measure Theory and Probability Theory
The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option ...
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Measure Theory and Probability Theory
The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option ...
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Modeling Uncertainty
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
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