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Asymptotically Optimal Prediction for Time-Varying Data Generating Processes
Jie Ding
, Jiawei Zhou, Vahid Tarokh
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
6
Scopus citations
Overview
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Keyphrases
Time-varying Data
100%
Asymptotically Optimal
100%
Optimal Prediction
100%
Data Generating Process
100%
Kinetic Prediction
100%
Structural Change
50%
Numerical Results
50%
Discretized
50%
Nonparametric
50%
Family of Distributions
50%
Performance Prediction
50%
Kolmogorov
50%
Oracle
50%
Wide Applicability
50%
Function Space
50%
Almost Surely
50%
Parametric Distribution
50%
Continuous Function Space
50%
Sequential Monte Carlo
50%
Mathematics
Generating Distribution
100%
Parametric
66%
Function Space
66%
Predictive Performance
33%
Continuous Function
33%
Monte Carlo
33%
Structural Change
33%