Search Results - subject:"Stochastic Approximation"

A general framework for statistical inference on discrete event systems.

Nicolai, R.P.; Koning, Koning, A.J. - Faculteit der Economische Wetenschappen, Erasmus … - 2006

marked point processes, likelihood methods, kernel density estimation and stochastic approximation to enable statistical …

Persistent link: https://www.econbiz.de/10010731914

On Stabilizing or Deregulating Food Prices

Flåm, Sjur Didrik; Gaasland, Ivar; Vårdal, Erling - Institutt for Økonomi, Universitetet i Bergen - 2006

. In stead it advocates and illustrates the use of tractable tools called stochastic approximation. These tools easily …. In that particular context stochastic approximation, provided it be applicable, o�ers several advantages. Notably it can … Appendix 1. Since stochastic approximation theory is a main vehicle throughout, some chief results are brie�y reviewed in …

Persistent link: https://www.econbiz.de/10008925670

A solution to the weak instrument bias in 2SLS estimation: Indirect inference with stochastic approximation

Arel-Bundock, Vincent - In: Economics Letters 120 (2013) 3, pp. 495-498

This paper frames indirect inference bias correction as a stochastic root-finding problem and proposes a computationally efficient method to solve it. The technique is applied to the many/weak instrument bias in two-stage least squares estimation. Monte Carlo experiments suggest that the...

Persistent link: https://www.econbiz.de/10010681781

Adaptive Smoothed Functional Algorithms for Optimal Staffing Levels in Service Systems

Prasad, H. L.; Prashanth, L. A.; Bhatnagar, Shalabh; … - In: Service Science 5 (2013) 1, pp. 29-55

Service systems are people-centric. The service providers employ a large workforce to service many clients, aiming to meet the service-level agreements (SLAs) and deliver a satisfactory client experience. A challenge is that the volumes of service requests change dynamically and the types of...

Persistent link: https://www.econbiz.de/10010630528

On boundedness of Q-learning iterates for stochastic shortest path problems

Yu, Huizhen; Bertsekas, Dimitri P. - In: Mathematics of operations research 38 (2013) 2, pp. 209-227

Persistent link: https://www.econbiz.de/10009751534

A solution to the weak instrument bias in 2SLS estimation : indirect inference with stochastic approximation

Arel-Bundock, Vincent - In: Economics letters 120 (2013) 3, pp. 495-498

Persistent link: https://www.econbiz.de/10010187251

Learning in Bayesian Games with Binary Actions

Beggs, Alan - Department of Economics, Oxford University - 2005

This paper considers a simple adaptive learning rule in Bayesian games where players employ threshold strategies. Global convergence results are given for supermodular games and potentital games.

Persistent link: https://www.econbiz.de/10005047697

Newsvendor-type models with decision-dependent uncertainty

Lee, Soonhui; Homem-de-Mello, Tito; Kleywegt, Anton - In: Computational Statistics 76 (2012) 2, pp. 189-221

Models for decision-making under uncertainty use probability distributions to represent variables whose values are unknown when the decisions are to be made. Often the distributions are estimated with observed data. Sometimes these variables depend on the decisions but the dependence is ignored...

Persistent link: https://www.econbiz.de/10010847950

Numerical methods for stochastic programs with second order dominance constraints with applications to portfolio optimization

Meskarian, Rudabeh; Xu, Huifu; Fliege, Jörg - In: European Journal of Operational Research 216 (2012) 2, pp. 376-385

qualification and then apply the well known stochastic approximation (SA) method and the level function method to solve the …

Persistent link: https://www.econbiz.de/10011052765

Estimation of geological formation thermal conductivity by using stochastic approximation method based on well-log temperature data

Cheng, Wen-Long; Huang, Yong-Hua; Liu, Na; Ma, Ran - In: Energy 38 (2012) 1, pp. 21-30

and a cost-effective in situ method by using stochastic approximation method based on well-log temperature data was …

Persistent link: https://www.econbiz.de/10011055373