Qian, Song S. (1997). "Water quality model structure identification using dynamic linear modeling: River Cam case study revisited", Water Science and Technology, 36(5), 27-34.  Home/Search   Document Details and Download   Summary   Related Articles

....Markov random field models have been used for predicting oceanic temperature on a regional scale (Lavine and Lozier, 1997) These applications will also provide the needed innovation in environmental and ecological spatial data analysis (currently dominated by a variety of kriging techniques. See Qian, 1997a) A noteworthy feature of the proposed research is the emphasis on the use of noninformative prior distributions when possible. This is achieved by using various nonparametric methods or hierarchical models. As a result, we are freed from the restriction of using computationally convenient prior ....

.... of the model does not match the structure of the observed patterns of behavior (Beck, 1983) The limit of the commonly use recursive parameter estimation methods (the Kalman filter and its modifications) is that they are dependent on assumed normality of model error (Beck and Young, 1976; Qian, 1997b, 1997c; West and Harrison, 1989) In Beck and Young (1976) the extended Kalman filter (EKF) was used. EKF (and its modifications) uses a first order Taylor expansion to linearize the relationship between model parameters and state variables. This linearization process is replaced by a maximum ....

[Article contains additional citation context not shown here]

Qian, Song S. (1997). "Water quality model structure identification using dynamic linear modeling: River Cam case study revisited", Water Science and Technology, 36(5), 27-34.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC