A Regularized Particle Filter EM Algorithm Based on Gaussian Randomization with an Application to Plant Growth Modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s11009-015-9440-0.pdf
Reference28 articles.
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3. Booth JG, Hobert JP (1999) Maximizing generalized linear mixed model likelihoods with an automated monte carlo em algorithm. J R Stat Soc Ser B, R Stat Soc 61(1):265–285
4. Campillo F, Rossi V (2009) Convolution Particle Filter for Parameter Estimation in General State-Space Models. IEEE Trans Aerosp Electron 45(3):1063–1072
5. Cappé O, Moulines E, Rydén T (2005) Inference in Hidden Markov Models. Springer, New York
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