Skip to main navigation
Skip to search
Skip to main content
Korea University Pure Home
Search content at Korea University Pure
Home
Profiles
Research units
Equipment
Research output
Press/Media
Prizes
Dynamic Bayesian analysis for irregularly and incompletely observed contingency tables
Y. S. Park
*
, K. W. Kim
,
B. Choi
*
Corresponding author for this work
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Dynamic Bayesian analysis for irregularly and incompletely observed contingency tables'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Non-response
100%
Contingency Table
100%
Bayesian Analysis
100%
Dynamic Bayesian
100%
Bayesian Methods
66%
Multinomial
66%
Election Surveys
66%
Dynamic Bayesian Model
66%
Scandal
33%
Survey Results
33%
Ohio
33%
Unexpected Events
33%
Electoral Outcomes
33%
Dynamic Structure
33%
Non-ignorable
33%
Boundary Solution
33%
General Election
33%
Presidential Candidates
33%
Successive Surveys
33%
Mathematics
Bayesian Analysis
100%
Contingency Table
100%
Nonresponse
100%
Bayesian
66%
Time Series
66%
Time Series Analysis
66%
Bayesian Model
66%
Stochastics
33%
Problem Solution
33%