scholarly journals The development of a more risk-sensitive and flexible airport safety area strategy: Part I. The development of an improved accident frequency model

2009 ◽  
Vol 47 (7) ◽  
pp. 903-912 ◽  
Author(s):  
D.K.Y. Wong ◽  
D.E. Pitfield ◽  
R.E. Caves ◽  
A.J. Appleyard
Keyword(s):  
Frequency Model ◽  
Accident Frequency ◽  
Risk Sensitive

scholarly journals Accident Frequency Model Based on Microscopic Characteristics of Heterogeneous Traffic in Makassar City

2019 ◽  
Vol 14 (6) ◽  
pp. 1820-1827
Author(s):  
Hasmar Halim ◽  
Sakti Adji Adisasmita ◽  
Muhammad Isran Ramli ◽  
Sumarni Hamid Aly
Keyword(s):  
Heterogeneous Traffic ◽  
Frequency Model ◽  
Accident Frequency ◽  
Model Based

scholarly journals Cooperative Stochastic Games with Mean-Variance Preferences

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 230
Author(s):  
Elena Parilina ◽  
Stepan Akimochkin
Keyword(s):  
Standard Deviation ◽  
Stochastic Games ◽  
Stochastic Game ◽  
Stochastic Variable ◽  
Expected Payoff ◽  
The Core ◽  
Risk Sensitive ◽  
Payoff Functions ◽  
Cooperative Solutions ◽  
Mean Variance

In stochastic games, the player’s payoff is a stochastic variable. In most papers, expected payoff is considered as a payoff, which means the risk neutrality of the players. However, there may exist risk-sensitive players who would take into account “risk” measuring their stochastic payoffs. In the paper, we propose a model of stochastic games with mean-variance payoff functions, which is the sum of expectation and standard deviation multiplied by a coefficient characterizing a player’s attention to risk. We construct a cooperative version of a stochastic game with mean-variance preferences by defining characteristic function using a maxmin approach. The imputation in a cooperative stochastic game with mean-variance preferences is supposed to be a random vector. We construct the core of a cooperative stochastic game with mean-variance preferences. The paper extends existing models of discrete-time stochastic games and approaches to find cooperative solutions in these games.

scholarly journals Risk sensitive optimal stopping

2021 ◽  
Vol 136 ◽  
pp. 125-144
Author(s):  
Damian Jelito ◽  
Marcin Pitera ◽  
Łukasz Stettner
Keyword(s):  
Optimal Stopping ◽  
Risk Sensitive
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