probability models for dna sequence ...
| |
probability models for dna sequence evolution /
|
self-normalized processes
| |
self-normalized processes
|
measure-valued branching markov proc...
| |
measure-valued branching markov processes
|
modern approach to probability theory /
| |
modern approach to probability theory /
|
basics of applied stochastic processes
| |
basics of applied stochastic processes
|
diffusions and elliptic operators
| |
diffusions and elliptic operators
|
|
|
feynman-kac formulae :
|
discrete-time markov jump linear sys...
| |
discrete-time markov jump linear systems /
|
|
|
stochastic processes
|
probability models for dna sequence ...
| |
probability models for dna sequence evolution
|
probabilistic symmetries and invaria...
| |
probabilistic symmetries and invariance principles
|
continuous-time markov chains :
| |
continuous-time markov chains :
|
introduction to the theory of point ...
| |
introduction to the theory of point processes.
|
stochastic and integral geometry
| |
stochastic and integral geometry
|
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
|
foundations of modern probability
| |
foundations of modern probability
|
poisson-dirichlet distribution and r...
| |
poisson-dirichlet distribution and related topics
|
|
|
theory of random sets /
|