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Dynamic pricing and inventory control with nonparametric demand learning
Byung Do Chung, Jiahan Li, Tao Yao
Marcus Department of Industrial and Manufacturing Engineering
Institute for Computational and Data Sciences (ICDS)
Center for Interdisciplinary Mathematics
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Dive into the research topics of 'Dynamic pricing and inventory control with nonparametric demand learning'. Together they form a unique fingerprint.
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Keyphrases
Nonparametric
100%
Inventory Control
100%
Learning Demand
100%
Dynamic Inventory
100%
Dynamic Pricing
100%
Pricing Control
100%
Parameter Estimation
25%
State-space Model
25%
Learning Algorithm
25%
Numerical Computation
25%
Control Algorithm
25%
Optimal Control
25%
Plan-based
25%
Optimal Pricing
25%
Markov Chain Monte Carlo Algorithm
25%
Bayesian Methods
25%
Parameter Sensitivity
25%
Price Sensitivity
25%
Inventory-level-dependent Demand
25%
Replacement Policy
25%
Inventory Planning
25%
Uncertain Price
25%
Parametric Structure
25%
Estimate Model Parameter
25%
Optimal Control Model
25%
Functional Coefficients
25%
Joint Dynamics
25%
Optimal Inventory
25%
Mathematics
Optimal Control Theory
100%
Markov Chain Monte Carlo
50%
Space Model
50%
Bayesian
50%
Parametric
50%
Numerical Computation
50%
Estimated Parameter
50%
Monte Carlo Algorithm
50%
Autoregressive Coefficient
50%
Economics, Econometrics and Finance
State Space Model
25%