|
|
Success runs in series of Bernoulli trials
Mach, Tibor ; Anděl, Jiří (advisor) ; Dvořák, Marek (referee)
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli trials and on some randomness tests based on these runs. Based on Markov chains, an explicit formula is derived for the probability that the first success run of a lenght $k$ in a sequence of independent Bernoulli trials occurs in the $n$-th trial and other formulas for this probability are mentioned. Furthermore, approximations of the exact value of this probability (particularly the Feller approximation), bounds of these approximations, and their numeric relations are examined. Lastly, a test of randomness based on the lenght of the longest run in a sequence of $n$ Bernoulli trials and a test based on the total amount of runs are derived.
|
|
|
Robust filtering
Mach, Tibor ; Dostál, Petr (advisor) ; Štěpán, Josef (referee)
This work is focused on the problem of filtering of random processes and on the construction of a stochastic integral with a measureable parameter. This integral is used to devise filtration equations for a random process which is based on a model motivated by a financial application. The method used to devise them and the equations themselves are then compared with the so called optional filtering from the book Markov processes and Martingales by Rogers and Williams, while the definition of the optional projection is extended so it is possible to correct a~mistake in a proposition in the aforementioned book. Powered by TCPDF (www.tcpdf.org)
|
|
|
Robust filtering
Mach, Tibor ; Dostál, Petr (advisor) ; Štěpán, Josef (referee)
This work is focused on the problem of filtering of random processes and on the construction of a stochastic integral with a measureable parameter. This integral is used to devise filtration equations for a random process which is based on a model motivated by a financial application. The method used to devise them and the equations themselves are then compared with the so called optional filtering from the book Markov processes and Martingales by Rogers and Williams, while the definition of the optional projection is extended so it is possible to correct a~mistake in a proposition in the aforementioned book. Powered by TCPDF (www.tcpdf.org)
|
|
|
Success runs in series of Bernoulli trials
Mach, Tibor ; Anděl, Jiří (advisor) ; Dvořák, Marek (referee)
This work is focused on selected probability characteristics of runs in a sequence of Bernoulli trials and on some randomness tests based on these runs. Based on Markov chains, an explicit formula is derived for the probability that the first success run of a lenght $k$ in a sequence of independent Bernoulli trials occurs in the $n$-th trial and other formulas for this probability are mentioned. Furthermore, approximations of the exact value of this probability (particularly the Feller approximation), bounds of these approximations, and their numeric relations are examined. Lastly, a test of randomness based on the lenght of the longest run in a sequence of $n$ Bernoulli trials and a test based on the total amount of runs are derived.
|
guest ::
RSS feed.