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Time Horizon

by Richard Perez, Tom Hoff Climatology, R. Perez, T. Hoff, Hourly Data, R. Perez, T. Hoff, Tilted Irradiance, Sky Luminance, Days Ahead, R. Perez, T. Hoff, Hourly Data, R. Perez, T. Hoff M, R. Perez, T. Hoff M
"... blue scale ..."
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blue scale

Time Horizon

by unknown authors , 2005
"... Pro-poor growth How important is macroeconomic stability? ..."
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Pro-poor growth How important is macroeconomic stability?

Time Horizon and the Discount Rate

by Christian Gollier - JOURNAL OF ECONOMIC THEORY 107, 463–473 , 2002
"... We consider an economy à la Lucas (1978, Econometrica 46, 1429–1446) with a risk-averse representative agent. The exogenous growth rate of the economy follows a random walk. We characterize the set of utility functions for which it is efficient to discount more distant cash flows at a lower rate. Th ..."
Abstract - Cited by 54 (11 self) - Add to MetaCart
We consider an economy à la Lucas (1978, Econometrica 46, 1429–1446) with a risk-averse representative agent. The exogenous growth rate of the economy follows a random walk. We characterize the set of utility functions for which it is efficient to discount more distant cash flows at a lower rate. The benchmark result is that, when the growth rate is almost surely nonnegative, the yield curve is decreasing if and only if relative risk aversion is decreasing with wealth. Relaxing the assumption on the absence of recession requires more restrictions on preferences, such as increasing relative prudence.

Iteratively Extending Time Horizon

by Reinforcement Learning Damien, Damien Ernst, Louis Wehenkel - In Proc. of the 14th European Conference on Machine Learning , 2003
"... Reinforcement learning aims to determine an (infinite time horizon) optimal control policy from interaction with a system. It can be solved by approximating the so-called Q-function from a sample of four-tuples (x t, u t , r t, x t+1) where x t denotes the system state at time t, u t the control act ..."
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Reinforcement learning aims to determine an (infinite time horizon) optimal control policy from interaction with a system. It can be solved by approximating the so-called Q-function from a sample of four-tuples (x t, u t , r t, x t+1) where x t denotes the system state at time t, u t the control

Time Horizons, Discounting and Intertemporal

by Philip Streich, Jack S. Levy, Philip Streich, Jack S. Levy - Choice”, Journal of Conflict Resolution , 2007
"... The online version of this article can be found at: ..."
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The online version of this article can be found at:

Time Horizons in Budgeting

by Daniel Tarschys - OECD Journal on Budgeting , 2002
"... © Software: 1987-1996, Acrobat is a trademark of ADOBE. All rights reserved. OECD grants you the right to use one copy of this Program for your personal use only. Unauthorised reproduction, lending, hiring, transmission or distribution of any data or software is prohibited. You must treat the Progra ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
© Software: 1987-1996, Acrobat is a trademark of ADOBE. All rights reserved. OECD grants you the right to use one copy of this Program for your personal use only. Unauthorised reproduction, lending, hiring, transmission or distribution of any data or software is prohibited. You must treat the Program and associated materials and any elements thereof like any other copyrighted material. All requests should be made to:

over Different Time Horizons

by unknown authors , 2008
"... This study investigates the performance of combination forecasts in comparison to individual forecasts. The empirical study focuses on the UK outbound leisure tourism demand for the USA. The combination forecasts are based on the competing forecasts generated from seven individual forecasting techni ..."
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forecasts. The empirical results suggest that combination forecasts overall play an important role in the improvement of forecasting accuracy in that they are superior to the best of the individual forecasts over different forecasting horizons. Furthermore, the simple average combination method

Dynamics of the Time Horizon Minority Game

by Michael L. Hart, Paul Jefferies, Neil F. Johnson , 2008
"... We present exact analytic results for a new version of the Minority Game (MG) in which strategy performance is recorded over a finite time horizon. The dynamics of this Time Horizon Minority Game (THMG) exhibit many distinct features from the MG and depend strongly on whether the participants are fe ..."
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We present exact analytic results for a new version of the Minority Game (MG) in which strategy performance is recorded over a finite time horizon. The dynamics of this Time Horizon Minority Game (THMG) exhibit many distinct features from the MG and depend strongly on whether the participants

Time Horizon: Lifetime.

by unknown authors
"... Background: Mortality from invasive candidiasis is high. Low culture sensitivity and treatment delay contribute to increased mortality, but nonselective early therapy may result in excess costs and drug resistance. Objective: To determine the cost-effectiveness of anti-Candida strategies for high-ri ..."
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Background: Mortality from invasive candidiasis is high. Low culture sensitivity and treatment delay contribute to increased mortality, but nonselective early therapy may result in excess costs and drug resistance. Objective: To determine the cost-effectiveness of anti-Candida strategies for high-risk patients in the intensive care unit (ICU).

Time Horizon: Lifetime.

by Paula A. Johnson , 1999
"... able. Objective: To evaluate the cost-effectiveness of strate-gies using cardiac markers and noninvasive tests for myo-cardial ischemia. Design: Cost-effectiveness analysis. ..."
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able. Objective: To evaluate the cost-effectiveness of strate-gies using cardiac markers and noninvasive tests for myo-cardial ischemia. Design: Cost-effectiveness analysis.
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