modern approach to probability theory /
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modern approach to probability theory /
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probability models for dna sequence ...
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probability models for dna sequence evolution /
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diffusions and elliptic operators
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diffusions and elliptic operators
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measure-valued branching markov proc...
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measure-valued branching markov processes
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self-normalized processes
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self-normalized processes
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foundations of modern probability
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foundations of modern probability
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feynman-kac formulae :
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introduction to the theory of point ...
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introduction to the theory of point processes.
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discrete-time markov jump linear sys...
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discrete-time markov jump linear systems /
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stochastic processes
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basics of applied stochastic processes
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basics of applied stochastic processes
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probability models for dna sequence ...
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probability models for dna sequence evolution
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continuous-time markov chains :
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continuous-time markov chains :
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foundations of modern probability
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foundations of modern probability
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probabilistic symmetries and invaria...
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probabilistic symmetries and invariance principles
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discrete-time markov jump linear systems
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discrete-time markov jump linear systems
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eigenvalues, inequalities, and ergod...
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eigenvalues, inequalities, and ergodic theory
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stochastic and integral geometry
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stochastic and integral geometry
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stochastic calculus for fractional b...
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stochastic calculus for fractional brownian motion and applications
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theory of random sets /
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