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.
The 41 checked references that resolve
resolves10.2307/1427934Sample mean based index policies by<i>O</i>(log<i>n</i>) regret for the multi-armed bandit problem
resolves10.1287/opre.1080.0640Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms
resolves10.1287/moor.2018.0937Nonparametric Self-Adjusting Control for Joint Learning and Optimization of Multiproduct Pricing with Finite Resource Capacity
resolves10.1287/mksc.2019.1193Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling
resolves10.1287/mksc.15.1.1Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets
resolves10.1287/mksc.2018.1135A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook
resolves10.1509/jmr.13.0277Effects of Internet Display Advertising in the Purchase Funnel: Model-Based Insights from a Randomized Field Experiment
resolves10.1287/mksc.2018.1129Dynamic Online Pricing with Incomplete Information Using Multiarmed Bandit Experiments
resolves10.1007/s11129-007-9026-4Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games
resolves10.1093/restud/rdz053Does Advertising Serve as a Signal? Evidence from a Field Experiment in Mobile Search
resolves10.1287/mksc.2016.1023Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments
resolves10.1086/429600Penny Wise and Pound Foolish: The Left‐Digit Effect in Price Cognition
resolves10.2307/2332286On the Likelihood that One Unknown Probability Exceeds Another in View of the Evidence of Two Samples
resolves10.1287/mnsc.2014.2134Strategic Waiting for Consumer-Generated Quality Information: Dynamic Pricing of New Experience Goods
resolves10.1287/mksc.2019.1213Price Bargaining and Competition in Online Platforms: An Empirical Analysis of the Daily Deal Market
The 32 references without a DOI — listed, not checked
no DOI — not checkedAnalysis of thompson sampling for the multi-armed bandit problem
no DOI — not checkedUsing confidence bounds for exploitation-exploration trade-offs
no DOI — not checkedUnreasonable effectiveness of greedy algorithms in multi-armed bandit with many arms
no DOI — not checkedref10
no DOI — not checkedAn empirical evaluation of thompson sampling
no DOI — not checkedref12
no DOI — not checkedThe influence of shape constraints on the thresholding bandit problem
no DOI — not checkedEstimating demand for subscription products: Identification of willingness to pay without price variation
no DOI — not checkedOn kernelized multi-armed bandits
no DOI — not checkedref18
no DOI — not checkedGuarantees for epsilon-greedy reinforcement learning with function approximation
no DOI — not checkedThe risks of changing your prices too often
no DOI — not checkedref21
no DOI — not checkedParametric bandits: The generalized linear case
no DOI — not checkedref25
no DOI — not checkedA dynamic allocation index for the sequential design of experiments
no DOI — not checkedRegression with input-dependent noise: A gaussian process treatment
no DOI — not checkedAn efficient bandit algorithm for realtime multivariate optimization
no DOI — not checkedref36
no DOI — not checkedref37
no DOI — not checkedEfficient thompson sampling for online matrixfactorization recommendation
no DOI — not checkedIs pricing killing your profits
no DOI — not checkedref46
no DOI — not checkedUniversal kernels
no DOI — not checkedref49
no DOI — not checkedref53
no DOI — not checkedref54
no DOI — not checkedref63
no DOI — not checkedref67
no DOI — not checkedref68
no DOI — not checkedref70
no DOI — not checkedVariance-dependent regret bounds for linear bandits and reinforcement learning: Adaptivity and computational efficiency
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