Pages that link to "Item:Q2624992"
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The following pages link to On the likelihood that one unkrown probability exeeds another in view of the evidence of two samples. (Q2624992):
Displaying 21 items.
- Visualizations for interrogations of multi-armed bandits (Q6541523) (← links)
- Statistical arbitrage under a fractal price model (Q6546999) (← links)
- Dynamic noise estimation: a generalized method for modeling noise fluctuations in decision-making (Q6557377) (← links)
- Finding the optimal exploration-exploitation trade-off online through Bayesian risk estimation and minimization (Q6566614) (← links)
- Multi-armed bandit experiments in the online service economy (Q6574679) (← links)
- Multinomial Thompson sampling for rating scales and prior considerations for calibrating uncertainty (Q6580646) (← links)
- Bayesian adaptive \(N\)-of-1 trials for estimating population and individual treatment effects (Q6617396) (← links)
- Doubly adaptive biased coin design to improve Bayesian clinical trials with time-to-event endpoints (Q6618464) (← links)
- A Bayesian-bandit adaptive design for \(N\)-of-1 clinical trials (Q6627711) (← links)
- Surveillance for endemic infectious disease outbreaks: adaptive sampling using profile likelihood estimation (Q6628637) (← links)
- Bayesian response adaptive randomization design with a composite endpoint of mortality and morbidity (Q6630391) (← links)
- TSEC: A Framework for Online Experimentation under Experimental Constraints (Q6631092) (← links)
- Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control (Q6631108) (← links)
- Factorial Designs for Online Experiments (Q6631856) (← links)
- Learned query optimizers (Q6638534) (← links)
- An exact bandit model for the risk-volatility tradeoff (Q6643162) (← links)
- Pair-matching: link prediction with adaptive queries (Q6652703) (← links)
- Deep spatial Q-learning for infectious disease control (Q6655999) (← links)
- Integrating optimized item selection with active learning for continuous exploration in recommender systems (Q6661057) (← links)
- A new bandit setting balancing information from state evolution and corrupted context (Q6663819) (← links)
- Game-theoretic statistical inference: optional sampling, universal inference, and multiple testing based on e-values. Abstracts from the workshop held May 5--10, 2024 (Q6671621) (← links)
