Li H. Optimal stopping under $\textit{G}$-expectation. Center for Mathematical Economics Working Papers. Vol 606. Bielefeld: Center for Mathematical Economics; 2018.We develop a theory of optimal stopping problems under *G*-expectation framework. We first define a new kind of random times, called *G*-stopping times, which is suitable for this problem. For the discrete time case with finite horizon, the value function is defined backwardly and we show that it is the smallest *G*-supermartingale dominating the payoff process and the optimal stopping time exists. Then we extend this result both to the infinite horizon and to the continuous time case. We also establish the relation between the value function and solution of reflected BSDE drive...
Includes bibliographical references (p. 29-30).Supported by NSF grant. DMI-9625489 Supported by ARO ...
We consider the optimal stopping problem with non-linear f-expectation (induced by a BSDE) without m...
Optimal stopping problems are common in areas such as operations management, marketing, statistics, ...
Li H. Optimal Multiple Stopping Problems Under g-expectation. Applied Mathematics and Optimization ....
In this thesis, first we briefly outline the general theory surrounding optimal stopping problems wi...
This thesis considers several optimal stopping problems motivated by mathematical fi- nance, using t...
We analyze an optimal stopping problem with a series of inequality-type and equality-type expectatio...
2012-2013 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe
In this paper, we address the stochastic representation problem in discrete time under (non-linear) ...
This thesis deals with the explicit solution of optimal stopping problems with infinite time horizon...
This paper studies the optimal stopping problem in the presence of model uncertainty (ambiguity). We...
The objective of this study is to provide an alternative characterization of the optimal value funct...
We solve the problem of optimal stopping of a Brownian motion subject to the constraint that the sto...
Abstract A type of optimal investment problem can be regarded as an optimal stopping problem in the ...
In this thesis we consider optimal stopping problems for continuous-time Markov chains, evaluated un...
Includes bibliographical references (p. 29-30).Supported by NSF grant. DMI-9625489 Supported by ARO ...
We consider the optimal stopping problem with non-linear f-expectation (induced by a BSDE) without m...
Optimal stopping problems are common in areas such as operations management, marketing, statistics, ...
Li H. Optimal Multiple Stopping Problems Under g-expectation. Applied Mathematics and Optimization ....
In this thesis, first we briefly outline the general theory surrounding optimal stopping problems wi...
This thesis considers several optimal stopping problems motivated by mathematical fi- nance, using t...
We analyze an optimal stopping problem with a series of inequality-type and equality-type expectatio...
2012-2013 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe
In this paper, we address the stochastic representation problem in discrete time under (non-linear) ...
This thesis deals with the explicit solution of optimal stopping problems with infinite time horizon...
This paper studies the optimal stopping problem in the presence of model uncertainty (ambiguity). We...
The objective of this study is to provide an alternative characterization of the optimal value funct...
We solve the problem of optimal stopping of a Brownian motion subject to the constraint that the sto...
Abstract A type of optimal investment problem can be regarded as an optimal stopping problem in the ...
In this thesis we consider optimal stopping problems for continuous-time Markov chains, evaluated un...
Includes bibliographical references (p. 29-30).Supported by NSF grant. DMI-9625489 Supported by ARO ...
We consider the optimal stopping problem with non-linear f-expectation (induced by a BSDE) without m...
Optimal stopping problems are common in areas such as operations management, marketing, statistics, ...