Journal of the Royal Statistical Society B

1972

Citations in the corpus

• Deep learning in neural networks: An overview (2014, neutral): “DP algorithms are also essential for systems that combine concepts of NNs and graphical m odels, such asHidden Markov Models (HMMs) (Stratonovich, 1960; Baum and Petrie, 1966) and Expectation Maximization(EM) (Dempster et al., 1977; Friedman et al., 2001), e.”
• 25 Years of IIF Time Series Forecasting: A Selective Review (2005, unknown): “A particular class of state space models, known as “structural models” or “dynamic linear models” (DLM), was introduced by Harrison & Stevens (1976), who also proposed a Bayesian approach to estimation.”
• Comparing the shapes of regression functions (2000, unknown): “Ramsay and Li, 1998, have developed a method to nd g 2 , smooth and monotone, to make x and y g 2 close in L 2 norm.”
• Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond (1999, unknown): “This method has been discussed by Silverman (1985), Wahba (1990) Zhu and Rohwer (1996) and Hastie (1996).”