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  • Search: subject:"Markov control process"
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Discrete-time Markov control process 5 Kantorovich metric 4 Average cost 2 Contraction 2 Empirical measure 2 Markov control process 2 Stability inequalities 2 Stability inequality 2 Total discounted cost 2 adaptive policy 2 average cost criterion 2 projection of estimator 2 rate of convergence 2 Monte Carlo methods 1 Rainfall derivatives 1 Seasonality 1 Utility indifference pricing 1
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Gordienko, Evgueni 4 Lemus-Rodríguez, Enrique 4 Montes-de-Oca, Raúl 4 Gordienko, Evgueni I. 2 Minjárez-Sosa, J. Adolfo 2 Leobacher, Gunther 1 Ngare, Philip 1
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Computational Statistics 3 Mathematical Methods of Operations Research 3 Applied Mathematical Finance 1
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RePEc 7
Showing 1 - 7 of 7
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On Modelling and Pricing Rainfall Derivatives with Seasonality
Leobacher, Gunther; Ngare, Philip - In: Applied Mathematical Finance 18 (2011) 1, pp. 71-91
We are interested in pricing rainfall options written on precipitation at specific locations. We assume the existence of a tradeable financial instrument in the market whose price process is affected by the quantity of rainfall. We then construct a suitable 'Markovian gamma' model for the...
Persistent link: https://www.econbiz.de/10009279047
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Average cost Markov control processes: stability with respect to the Kantorovich metric
Gordienko, Evgueni; Lemus-Rodríguez, Enrique; … - In: Mathematical Methods of Operations Research 70 (2009) 1, pp. 13-33
We study perturbations of a discrete-time Markov control process on a general state space. The amount of perturbation …
Persistent link: https://www.econbiz.de/10010999704
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Average cost Markov control processes: stability with respect to the Kantorovich metric
Gordienko, Evgueni; Lemus-Rodríguez, Enrique; … - In: Computational Statistics 70 (2009) 1, pp. 13-33
We study perturbations of a discrete-time Markov control process on a general state space. The amount of perturbation …
Persistent link: https://www.econbiz.de/10010759307
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Discounted cost optimality problem: stability with respect to weak metrics
Gordienko, Evgueni; Lemus-Rodríguez, Enrique; … - In: Computational Statistics 68 (2008) 1, pp. 77-96
We find inequalities to estimate the stability (robustness) of a discounted cost optimization problem for discrete-time Markov control processes on a Borel state space. The one stage cost is allowed to be unbounded. Unlike the known results in this area we consider a perturbation of transition...
Persistent link: https://www.econbiz.de/10010847899
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Discounted cost optimality problem: stability with respect to weak metrics
Gordienko, Evgueni; Lemus-Rodríguez, Enrique; … - In: Mathematical Methods of Operations Research 68 (2008) 1, pp. 77-96
We find inequalities to estimate the stability (robustness) of a discounted cost optimization problem for discrete-time Markov control processes on a Borel state space. The one stage cost is allowed to be unbounded. Unlike the known results in this area we consider a perturbation of transition...
Persistent link: https://www.econbiz.de/10010999906
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Adaptive control for discrete-time Markov processes with unbounded costs: Average criterion
Gordienko, Evgueni I.; Minjárez-Sosa, J. Adolfo - In: Computational Statistics 48 (1998) 1, pp. 37-55
The paper deals with a class of discrete-time Markov control processes with Borel state and action spaces, and possibly unbounded one-stage costs. The processes are given by recurrent equations x t +1 =F(x t ,a t ,ξ t ), t=1,2,… with i.i.d. ℜ k – valued random vectors ξ t whose density...
Persistent link: https://www.econbiz.de/10010847701
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Adaptive control for discrete-time Markov processes with unbounded costs: Average criterion
Gordienko, Evgueni I.; Minjárez-Sosa, J. Adolfo - In: Mathematical Methods of Operations Research 48 (1998) 1, pp. 37-55
The paper deals with a class of discrete-time Markov control processes with Borel state and action spaces, and possibly unbounded one-stage costs. The processes are given by recurrent equations x <Subscript> t </Subscript> <Subscript>+1</Subscript>=F(x <Subscript> t </Subscript>,a <Subscript> t </Subscript>,ξ<Subscript> t </Subscript>), t=1,2,… with i.i.d. ℜ<Superscript> k </Superscript>– valued random vectors ξ<Subscript> t </Subscript> whose...</subscript></superscript></subscript></subscript></subscript></subscript></subscript>
Persistent link: https://www.econbiz.de/10010999729
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