2009
DOI: 10.1198/jabes.2009.07032
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Autologistic models with interpretable parameters

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Cited by 67 publications
(92 citation statements)
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“…In this paper, we consider both same-and different-species occurrence at neighbouring locations. Traditional autologistic models bias estimates of model parameters [58], but can be corrected by a centred parametrization of the autologistic model [59]. The presence/absence component of our model is an adaptation of the bivariate, centred autologistic model of Caragea & Berg [60].…”
Section: (E) Bayesian Modellingmentioning
confidence: 99%
“…In this paper, we consider both same-and different-species occurrence at neighbouring locations. Traditional autologistic models bias estimates of model parameters [58], but can be corrected by a centred parametrization of the autologistic model [59]. The presence/absence component of our model is an adaptation of the bivariate, centred autologistic model of Caragea & Berg [60].…”
Section: (E) Bayesian Modellingmentioning
confidence: 99%
“…1), spatial dependence parameters were estimated for two directions: along and across (perpendicular to) rows. Th e autologistic model used in this study permitted to match the large-scale (a spatial trend) model structure with the marginal structure (small scale controlled by variance or covariance) in the observed data (Caragea and Kaiser, 2009). Th is feature made interpolation of model parameters consistent over a wide range of spatial dependencies observed in data.…”
Section: Categorical Spatial Statistical Analysismentioning
confidence: 99%
“…Th e prefi x "auto" indicates that these logistic models address statistical dependence by estimating how much the categorical response in one grid cell is aff ected by the response situated at the surrounding, neighborhood grid cells. For a given location S i = (U i , V i ) with U indicating the horizontal position and V indicating the vertical position, the general unidirectional autologistic model with covariates as stated by Caragea and Kaiser (2009) is of the form…”
Section: Categorical Spatial Statistical Analysismentioning
confidence: 99%
“…Here, we shall study (8) in two directions, horizontal and diagonal, meaning that we set directional vectors e 1 and e 2 with coordinates e 1 = (1, 0) and e 2 = (1, 1).…”
Section: Covariance and Spatial Odds Ratiomentioning
confidence: 99%
“…The auto-logistic model has seen a lot of use in the last 40 years and in various contexts; see, for example, [4], [22] and [42] in ecology, [20] in epidemiology, [26] in image analysis, and [23], [37] in landuse. The auto-logistic model has been reparameterized recently by Caragea and Kaiser [8], which helps with interpretation of the parameters, and this was extended to the spatio-temporal case by Wang and Zhen [47].…”
Section: Introductionmentioning
confidence: 99%