Handbook of Spatial Statistics

By Jesper Møller. 2008

465 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1b67176c4e259791544e9b00e1c43bf5c0296256

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Citations in the corpus

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering (2013, background): “In spatial statistics typical problems are prediction of wind, precipitation or ocean currents based on ﬁnite sets of measurements [1].”
Bayesian Inference and Model Assessment for Spatial Point Patterns Using Posterior Predictive Samples (2017, background): “…theoretical development and computational tools for analyzing many types of point patterns, including simple point patterns, multivariate point patterns, marked point patterns, and spatiotemporal point patterns (see, e.g., Møller and Waagepetersen, 2003; Illian et al., 2008; Gelfand et al., 2010).”
Spatial models with explanatory variables in the dependence structure (2014, background): “…43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 are to explore the data, make predictions at locations where the process is unobserved, learn about the process or make synthetic stochastic process generators (Banerjee et al., 2003; Gelfand et al., 2010; Cressie and Wikle, 2011).”
Cluster-robust inference: A guide to empirical practice (2022, methodology): “Hagemann (2019a,b) develops RI tests that can be used even when G is quite small and there is substantial heterogeneity across clusters. These tests do not require cluster-level estimation, but G1 and G−G1 should both be no less than 4. Hu and Spamann (2020) develops an RI procedure based on RI-t fo”
Spatial and spatio-temporal models with R-INLA. (2013, methodology): “Depending on D being a continuous surface or a countable collection of d -dimensional spatial units, the problem can be speciﬁed as a spatially continuous or discrete random process, respectively (Gelfand et al., 2010).”
On Estimation of the Intensity Function of a Point Process (2011, background): “For an overview of the state of the art, the user is referred to the recent handbook of spatial statistics (Gelfand et al. 2010) and the references therein.”