Reference health
The Nonstationary Newsvendor: Data-Driven Nonparametric Learning
49/49 checkable references clean · checked 2026-08-27
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
21 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 49 checked references that resolve
resolves10.1287/opre.2022.2263
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management
resolves10.1287/mnsc.31.9.1150
Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution
resolves10.1287/opre.1080.0640
Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms
resolves10.1287/opre.2021.2109
Dynamic Learning and Market Making in Spread Betting Markets with Informed Bettors
resolves10.1287/mnsc.2013.1713
“Nursevendor Problem”: Personnel Staffing in the Presence of Endogenous Absenteeism
resolves10.1287/mnsc.1110.1426
Bayesian Dynamic Pricing Policies: Learning and Earning Under a Binary Prior Distribution
resolves10.1287/opre.2015.1344
Investment Timing with Incomplete Information and Multiple Means of Learning
resolves10.1287/moor.1080.0355
A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand
resolves10.1287/ijoc.2013.0553
Online Sequential Optimization with Biased Gradients: Theory and Applications to Censored Demand
resolves10.1287/mnsc.2021.4011
Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment
resolves10.1287/opre.2022.0112
Data-Driven Clustering and Feature-Based Retail Electricity Pricing with Smart Meters
resolves10.1287/opre.2014.1294
Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies
resolves10.1287/ijoc.2017.0773
A Data-Driven Model of an Appointment-Generated Arrival Process at an Outpatient Clinic
resolves10.1137/S1052623499363220
The Sample Average Approximation Method for Stochastic Discrete Optimization
resolves10.1287/moor.1070.0272
Provably Near-Optimal Sampling-Based Policies for Stochastic Inventory Control Models
resolves10.1287/opre.2018.1802
Optimal Dynamic Product Development and Launch for a Network of Customers
resolves10.1287/opre.2020.2080
Competitive Investment with Bayesian Learning: Choice of Business Size and Timing
resolves10.1287/mnsc.48.5.607.7807
Adaptive Inventory Control for Nonstationary Demand and Partial Information
resolves10.1287/mnsc.2020.3799
Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs
resolves10.1287/mnsc.2019.3288
Closing the Gap: A Learning Algorithm for Lost-Sales Inventory Systems with Lead Times
resolves10.1287/msom.2021.0979
Online Learning and Optimization of (Some) Cyclic Pricing Policies in the Presence of Patient Customers
The 21 references without a DOI — listed, not checked
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no DOI — not checkedCoordinating pricing and inventory replenishment with nonparametric demand learning
no DOI — not checkedMexico -Avocado annual -Avocado exports to the US remain strong in MY 2018/19
no DOI — not checkedref20
no DOI — not checkedBandits atop reinforcement learning: Tackling online inventory models with cyclic demands
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no DOI — not checkedref27
no DOI — not checkedref37
no DOI — not checkedThe optimal workforce staffing solutions with random patient demand in healthcare settings
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no DOI — not checkedAvocado
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no DOI — not checkedref69
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