scholarly journals Time Horizon and Cooperation in Continuous Time

2011 ◽  
Author(s):  
Maria Bigoni ◽  
Marco Casari ◽  
Andrzej Skrzypacz ◽  
Giancarlo Spagnolo
Keyword(s):  
Continuous Time ◽  
Time Horizon

A Model for Farm Management with Continuous Time Horizon

2001 ◽  
Author(s):  
B. Recio ◽  
F. Rubio ◽  
M.Teresa Ortuño ◽  
Begoña Vitoriano
Keyword(s):  
Continuous Time ◽  
Time Horizon ◽  
Farm Management

scholarly journals Exact overflow asymptotics for queues with many Gaussian inputs

2003 ◽  
Vol 40 (3) ◽  
pp. 704-720 ◽  
Author(s):  
Krzysztof Dębicki ◽  
Michel Mandjes
Keyword(s):  
Brownian Motion ◽  
Gaussian Processes ◽  
Continuous Time ◽  
Time Horizon ◽  
Exact Results ◽  
Service Capacity ◽  
Stationary Increments ◽  
Overflow Probability ◽  
Finite Time Horizon ◽  
Transient Probability

In this paper we consider a queue fed by a large number of independent continuous-time Gaussian processes with stationary increments. After scaling the buffer exceedance threshold and the (constant) service capacity by the number of sources, we present asymptotically exact results for the probability that the buffer threshold is exceeded. We consider both the stationary overflow probability and the (transient) probability of overflow at a finite time horizon. We give detailed results for the practically important cases in which the inputs are fractional Brownian motion processes or integrated Gaussian processes.

A duration estimator for a continuous time war of attrition game

2020 ◽  
pp. 1-19
Author(s):  
Frederick J. Boehmke ◽  
Douglas Dion ◽  
Charles R. Shipan
Keyword(s):  
Economic Theory ◽  
Continuous Time ◽  
Hazard Rate ◽  
Time Horizon ◽  
Mixed Strategy ◽  
Fixed Time ◽  
Likelihood Estimator ◽  
International Crises ◽  
War Of Attrition ◽  
Weak Competitor

Abstract We developed a maximum likelihood estimator corresponding to the predicted hazard rate that emerges from a continuous time game of incomplete information with a fixed time horizon (i.e., Kreps and Wilson, 1982, Journal of Economic Theory27, 253–279). Such games have been widely applied in economics and political science and involve two players engaged in a war of attrition contest over some prize that they both value. Each player can be either a strong or weak competitor. In the equilibrium of interest, strong players do not quit whereas weak players play a mixed strategy characterized by a hazard rate that increases up to an endogenous point in time, after which only strong players remain. The observed length of the contest can therefore be modeled as a mixture between two unobserved underlying durations: one that increases until it abruptly ends at an endogenous point in time and a second involving two strong players that continues indefinitely. We illustrate this estimator by studying the durations of Senate filibusters and international crises.

scholarly journals Time Horizon and Cooperation in Continuous Time

Econometrica ◽  
2015 ◽  
Vol 83 (2) ◽  
pp. 587-616 ◽  
Author(s):  
Maria Bigoni ◽  
Marco Casari ◽  
Andrzej Skrzypacz ◽  
Giancarlo Spagnolo
Keyword(s):  
Continuous Time ◽  
Time Horizon

scholarly journals Exact overflow asymptotics for queues with many Gaussian inputs

2003 ◽  
Vol 40 (03) ◽  
pp. 704-720 ◽  
Author(s):  
Krzysztof Dębicki ◽  
Michel Mandjes
Keyword(s):  
Brownian Motion ◽  
Gaussian Processes ◽  
Continuous Time ◽  
Time Horizon ◽  
Exact Results ◽  
Service Capacity ◽  
Stationary Increments ◽  
Overflow Probability ◽  
Finite Time Horizon ◽  
Transient Probability

In this paper we consider a queue fed by a large number of independent continuous-time Gaussian processes with stationary increments. After scaling the buffer exceedance threshold and the (constant) service capacity by the number of sources, we present asymptotically exact results for the probability that the buffer threshold is exceeded. We consider both the stationary overflow probability and the (transient) probability of overflow at a finite time horizon. We give detailed results for the practically important cases in which the inputs are fractional Brownian motion processes or integrated Gaussian processes.

Two alternative models for farm management: Discrete versus continuous time horizon

2003 ◽  
Vol 144 (3) ◽  
pp. 613-628 ◽  
Author(s):  
B Vitoriano ◽  
M.T Ortuño ◽  
B Recio ◽  
F Rubio ◽  
A Alonso-Ayuso
Keyword(s):  
Continuous Time ◽  
Time Horizon ◽  
Farm Management ◽  
Alternative Models
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