Strategies for dynamic space-time statistical modeling: discussion of "The Kriged Kalman filter" by Mardia et al.

Authors

Noel A. Cressie, University of WollongongFollow
Christopher Wikle, University Of Missouri-Columbia

RIS ID

73191

Publication Details

Cressie, N. A. & Wikle, C. (1998). Strategies for dynamic space-time statistical modeling: discussion of "The Kriged Kalman filter" by Mardia et al.. Test, 7 (2), 257-264.

Abstract

We appreciate the opportunity to discuss this paper by Mardia, Goodall, Redfern, and Alonso (hereafter referred to as MGRA) because it allows us to put in perspective and, to some extent, prioritize the considerable recent activity in dynamic space-time prediction. MGRA represents one contribution, whose place among the recent contributions in the statistics literature by Cressie (1994), Goodall and Mardia (1994), Guttorp, Meiring, and Sampson (1994), Huang and Cressie (1996), Wikle and Cressie (1997), Berke (1998), Meiring, Guttorp and Sampson (1998), and Wikle, Berliner, and Cressie (1998) shall be discussed.