A cross-validation procedure for stopping the EM algorithm and deconvolution of neutron depth profiling spectra
- National Inst. of Standards and Technology, Statistical Engineering Div., Gaithersburg, MD (US)
The iterative EM algorithm is used to deconvolve neutron depth profiling spectra. Because of statistical noise in the data, artifacts in the estimated particle emission rate profile appear after too many iterations of the EM algorithm. To avoid artifacts, the EM algorithm is stopped using a cross-validation procedure. The data are split into two independent halves. The EM algorithm is applied to one half of the data to get an estimate of the emission rates. The algorithm is stopped when the conditional likelihood of the other half of the data passes through its maximum. The roles of the two halves of the data are then switched to get a second estimate of the emission rates. The two estimates are then averaged.
- OSTI ID:
- 5806395
- Journal Information:
- IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (USA), Vol. 38:1; ISSN 0018-9499
- Country of Publication:
- United States
- Language:
- English
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99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
NEUTRON SPECTRA
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ITERATIVE METHODS
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EMISSION
MATHEMATICAL LOGIC
SPECTRA
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