00:00:48 1 Context
00:01:37 2 Definition
00:03:40 3 Special case of a known noise spectrum
00:04:29 4 Accuracy of approximation
00:05:18 5 Applications
00:05:42 5.1 Parameter estimation
00:06:31 5.2 Signal detection
00:07:20 5.3 Spectrum estimation
00:08:09 6 See also
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SUMMARY
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In statistics, Whittle likelihood is an approximation to the likelihood function of a stationary Gaussian time series. It is named after the mathematician and statistician Peter Whittle, who introduced it in his PhD thesis in 1951.
It is commonly utilized in time series analysis and signal processing for parameter estimation and signal detection.
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