Content
March 2012, Volume 23, Issue 2
- 162-174 A two‐stage model for incidence and prevalence in point‐level spatial count data
by Virginia Recta & Murali Haran & James L. Rosenberger - 175-182 Spatial analysis of the risk of multiple cancers in relation to a petrochemical plant
by Crescenza Calculli & Alessio Pollice & Maria Serinelli - 183-196 Semiparametric bivariate zero‐inflated Poisson models with application to studies of abundance for multiple species
by Ali Arab & Scott H. Holan & Christopher K. Wikle & Mark L. Wildhaber - 197-205 Conditional likelihood approach for analyzing single visit abundance survey data in the presence of zero inflation and detection error
by Péter Sólymos & Subhash Lele & Erin Bayne
February 2012, Volume 23, Issue 1
- 1-2 Recent advances in spatio‐temporal stochastic modelling
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Wenceslao González‐Manteiga & Rosa M. Crujeiras - 1-3 Issue Information
by Wenceslao González‐Manteiga & Rosa M. Crujeiras - 3-11 Testing for space–time interaction in conditional autoregressive models
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & M.D. Ugarte & T. Goicoa & J. Etxeberria & A.F. Militino - 12-23 A group lasso approach for non‐stationary spatial–temporal covariance estimation
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Nan‐Jung Hsu & Ya‐Mei Chang & Hsin‐Cheng Huang - 24-36 Spatio‐temporal metamodeling for West African monsoon
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Anestis Antoniadis & Céline Helbert & Clémentine Prieur & Laurence Viry - 37-45 Optimal design for detecting dependencies with an application in spatial ecology
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Werner G. Müller & Juan M. Rodríguez‐Díaz & María J. Rivas López - 46-53 Circular conditional autoregressive modeling of vector fields
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Danny Modlin & Montserrat Fuentes & Brian Reich - 54-64 Adjusted functional boxplots for spatio‐temporal data visualization and outlier detection
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Ying Sun & Marc G. Genton - 65-74 In order to make spatial statistics computationally feasible, we need to forget about the covariance function
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Daniel Simpson & Finn Lindgren & Håvard Rue - 75-84 Categorical structured additive regression for assessing habitat suitability in the spatial distribution of mussel seed abundance
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & M. P. Pata & T. Kneib & C. Cadarso‐Suárez & V. Lustres‐Pérez & E. Fernández‐Pulpeiro - 85-93 Nonparametric methods for spatial regression. An application to seismic events
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Mario Francisco‐Fernández & Alejandro Quintela‐del‐Río & Rubén Fernández‐Casal - 94-107 Bayesian hierarchical spatio‐temporal smoothing for very large datasets
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & Matthias Katzfuss & Noel Cressie - 108-118 Spatial threshold exceedance analysis through marked point processes
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & A.E. Madrid & J.M. Angulo & J. Mateu - 119-128 Spatial functional prediction from spatial autoregressive Hilbertian processes
by Wenceslao González‐Manteiga & Rosa M. Crujeiras & M. D. Ruiz‐Medina