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Optimal learning for sequential sampling with non-parametric beliefs
Emre Barut, Warren B. Powell
Operations Research & Financial Engineering
Center for Statistics & Machine Learning
Electrical and Computer Engineering
High Meadows Environmental Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
6
Scopus citations
Overview
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Dive into the research topics of 'Optimal learning for sequential sampling with non-parametric beliefs'. Together they form a unique fingerprint.
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Mathematics
Aggregation
18%
Asymptotically Optimal
19%
Bandwidth
18%
Beliefs
79%
Calculate
14%
Consistent Estimator
20%
Correlation Structure
21%
Estimate
8%
Gradient
14%
Kernel Estimation
24%
Kernel Estimator
42%
Kernel Function
19%
Knowledge
14%
Learning
66%
Mean square error
18%
Policy
71%
Predictive Distribution
23%
Ranking and Selection
26%
Sequential Sampling
100%
Unknown
11%
Weighting
37%
Business & Economics
Bandwidth
28%
Correlation Structure
30%
Estimator
19%
Gradient
26%
Kernel
29%
Kernel Estimation
37%
Kernel Estimator
71%
Policy Learning
37%
Predictive Distribution
34%
Ranking and Selection
35%
Sampling
76%
Weighting
47%
Engineering & Materials Science
Agglomeration
31%
Bandwidth
23%
Mean square error
34%
Sampling
51%
Set theory
47%