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Testing for threshold autoregression with conditional heteroscedasticity
C. S. WONG,
Wai Keung LI
Department of Mathematics and Information Technology (MIT)
Research output
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Contribution to journal
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Articles
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peer-review
38
Citations (Scopus)
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Dive into the research topics of 'Testing for threshold autoregression with conditional heteroscedasticity'. Together they form a unique fingerprint.
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Mathematics
Conditionals
100%
Heteroscedasticity
100%
Autoregression
100%
Statistics
66%
Null
66%
Lagrange Multiplier
66%
Asymptotics
33%
Monte Carlo
33%
True Model
33%
Asymptotic Distribution
33%
Conditional Variance
33%
Gaussian Process
33%
Process Variable
33%
Nuisance Parameter
33%
Percentage Point
33%
Brownian Bridge
33%
Keyphrases
Conditional Heteroscedasticity
100%
Threshold Autoregression
100%
Lagrange multiplier
66%
Copyright
33%
Threshold Parameter
33%
Nuisance Parameter
33%
Test Power
33%
True Model
33%
Monte Carlo Experiment
33%
Conditional Variance
33%
Asymptotic Distribution
33%
Asymptotic null Distribution
33%
Gaussian Process
33%
Null Distribution
33%
Zero Mean
33%
Brownian Bridge
33%
Unconditional Distribution
33%