A kernel-based spectral model for non-Gaussian spatio-temporal processes

By Christopher K. Wikle. 2002

110 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Scott H. Holan
2. Mauricio A Álvarez
3. Neil D. Lawrence
4. Christopher K. Wikle
5. James S. Clark
6. Mevin B. Hooten
7. T. Hefley
8. OTTAR N. Bjørnstad

In Environmental Engineering

1. Scott H. Holan
2. Mauricio A Álvarez
3. Neil D. Lawrence
4. Christopher K. Wikle

Citations in the corpus

• Some topics in convolution-based spatial modeling (2007, unknown): “An alternative convolution-based space-time modeling framework was proposed by Wikle and Cressie (1999), Wikle (2002), and Xu et al. (2005).”
• Computationally Efficient Convolved Multiple Output Gaussian Processes (2011, background): “Applications include the construction of nonstationary covariances (Higdon, 1998; Higdon et al., 1998; Fuentes, 2002a,b; Pciorek and Schervish, 2004) and spatiotemporal covariances (Wikle et al., 1998; Wikle, 2002, 2003).”
• Polynomial nonlinear spatio‐temporal integro‐difference equation models (2011, methodology): “In addition, non-diffusive propagation is dependent on the skewness of the kernel (e.g. Wikle, 2002).”