Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
A stopping rule for symbolic dynamic filtering
Yicheng Wen,
Asok Ray
Mechanical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A stopping rule for symbolic dynamic filtering'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Symbolic Dynamic Filtering
100%
Stopping Rule
100%
Markov Chain Monte Carlo
50%
Confidence Level
50%
State Probability
50%
Probability Vector
50%
Probabilistic Automata
50%
Error Bound
50%
Absolute Error
50%
Monte Carlo Computation
50%
Mathematics
Symbolic Dynamic
100%
Stopping Rule
100%
Markov Chain Monte Carlo
50%
Confidence Level
50%
Absolute Error
50%
Error Bound
50%
Probability Vector
50%
State Probability
50%
Computer Science
Symbolic Dynamic Filtering
100%
markov chain monte-carlo
50%
Probability Vector
50%
State Probability
50%
State Automaton
50%
Confidence Level
50%