Abstract: Autoregressive processes are intensively studied in statistics and other fields of applied stochastics. For many applications the overshoot and the threshold-time are of special interest. When the upward innovations are in the class of phasetype distributions we determine the joint distribution of this two quantities and apply this result to problems of optimal stopping. Using a principle of continuous fit this leads to explicit solutions
A well-known stochastic model for intermittent fluctuations in physical systems is investigated. The...
Some tests for an epidemic type change in a first order nearly nonstationary autoregressive process ...
This paper aims to bridge the gap between processes where shocks are permanent and those with transi...
Autoregressive processes are intensively studied in statistics and other fields of applied stochasti...
This thesis deals with the explicit solution of optimal stopping problems with infinite time horizon...
Optimal stopping problems form a class of stochastic optimization problems that has a wide range of ...
Phase-type distributions describe the random time taken for a Markov process to reach an absorbing s...
A phase-type distribution is the distribution of a killing time in a finite-state Markov chain. This...
The purpose of this paper is to investigate the dynamics and steady-state properties of threshold au...
We obtain a new fluctuation identity for a general Lévy process giving a quintuple law describing th...
This book contains an in-depth treatment of matrix-exponential (ME) distributions and their sub-clas...
This paper examines the steady state properties of the Threshold Vector Autoregressive model. Assumi...
AbstractA phase-type distribution is the distribution of the time until absorption in a finite state...
This paper is concerned with deriving the limit distributions of stopping times devised to ...
The purpose of this paper is to derive some new results for threshold models. We consider AR(1) thre...
A well-known stochastic model for intermittent fluctuations in physical systems is investigated. The...
Some tests for an epidemic type change in a first order nearly nonstationary autoregressive process ...
This paper aims to bridge the gap between processes where shocks are permanent and those with transi...
Autoregressive processes are intensively studied in statistics and other fields of applied stochasti...
This thesis deals with the explicit solution of optimal stopping problems with infinite time horizon...
Optimal stopping problems form a class of stochastic optimization problems that has a wide range of ...
Phase-type distributions describe the random time taken for a Markov process to reach an absorbing s...
A phase-type distribution is the distribution of a killing time in a finite-state Markov chain. This...
The purpose of this paper is to investigate the dynamics and steady-state properties of threshold au...
We obtain a new fluctuation identity for a general Lévy process giving a quintuple law describing th...
This book contains an in-depth treatment of matrix-exponential (ME) distributions and their sub-clas...
This paper examines the steady state properties of the Threshold Vector Autoregressive model. Assumi...
AbstractA phase-type distribution is the distribution of the time until absorption in a finite state...
This paper is concerned with deriving the limit distributions of stopping times devised to ...
The purpose of this paper is to derive some new results for threshold models. We consider AR(1) thre...
A well-known stochastic model for intermittent fluctuations in physical systems is investigated. The...
Some tests for an epidemic type change in a first order nearly nonstationary autoregressive process ...
This paper aims to bridge the gap between processes where shocks are permanent and those with transi...