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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
Bayesian Methods
25%
Control Algorithm
25%
Dynamic Inventory
100%
Dynamic Pricing
100%
Estimate Model Parameter
25%
Functional Coefficients
25%
Inventory Control
100%
Inventory Planning
25%
Inventory-level-dependent Demand
25%
Joint Dynamics
25%
Learning Algorithm
25%
Learning Demand
100%
Markov Chain Monte Carlo Algorithm
25%
Nonparametric
100%
Numerical Computation
25%
Optimal Control
25%
Optimal Control Model
25%
Optimal Inventory
25%
Optimal Pricing
25%
Parameter Estimation
25%
Parameter Sensitivity
25%
Parametric Structure
25%
Plan-based
25%
Price Sensitivity
25%
Pricing Control
100%
Replacement Policy
25%
State-space Model
25%
Uncertain Price
25%
Mathematics
Autoregressive Coefficient
50%
Bayesian
50%
Estimated Parameter
50%
Markov Chain Monte Carlo
50%
Monte Carlo Algorithm
50%
Numerical Computation
50%
Optimal Control Theory
100%
Parametric
50%
Space Model
50%
Economics, Econometrics and Finance
State Space Model
25%