Suchergebnisse - approximate statistik dynamic programming algorithm

Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization von Iyengar, Garud, Singal, Raghav

“… The flexibility of choosing the ad action as a function of the consumer state is critical for modern-day marketing campaigns. We study the problem of …”
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A Bayesian learning model for estimating unknown demand parameter in revenue management von Xiao, Baichun, Yang, Wei

“… In addition to exploration, with few restrictive assumptions we develop a heuristic algorithm for revenue exploitation and establish a regret bound that is comparable to the best bounds available in the literature …”
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An auxiliary particle filter for nonlinear dynamic equilibrium models von Yang, Yuan, Wang, Lu

“… We develop a particle filter algorithm to approximate the likelihood function of nonlinear dynamic stochastic general equilibrium models …”
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Approximately optimal auctions for correlated bidders von Dobzinski, Shahar, Fu, Hu, Kleinberg, Robert

“… We consider the design of dominant strategy incentive compatible, revenue-maximizing auctions for an indivisible good, when bidders' values are drawn from a …”
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Premium control with reinforcement learning von Palmborg, Lina, Lindskog, Filip

“… In a simplified setting, the optimal premium rule can be derived with dynamic programming methods …”
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Estimation of state changes in system descriptions for dynamic Bayesian networks by using a genetic procedure and particle filters von Lu, Jianjun, Tokinaga, Shozo

“… This paper deals with the estimation of state changes in system descriptions for dynamic Bayesian networks (DBNs …”
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