Probability and its applications

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