| ¡@corresponding author* |
| Spatial and Temporal Data Analysis |
|
| |
Editorial¡@
Ming-Hui Chen, Xuming He and Bo Li |
|
1 |
| |
A multivariate Gaussian process factor model for hand shape during reach-to-grasp movements¡@ ¡@
Lucia Castellanos*, Vincent Q. Vu, Sagi Perel, Andrew B. Schwartz and Robert E. Kass
|
Sup |
doi:10.5705/ss.2013.226w
5 |
| |
Joint spatio-temporal analysis of a linear and a directional variable: space-time modeling of wave heights and wave directions in the Adriatic Sea
Fangpo Wang*, Alan E. Gelfand and Giovanna Jona-Lasinio |
Sup |
doi:10.5705/ss.2013.204w
25 |
| |
A covariance parameter estimation method for polar-orbiting satellite data
Michael T. Horrell* and Michael L. Stein |
Sup |
doi:10.5705/ss.2013.227w
41 |
| |
A Bayesian spatio-temporal geostatistical model with an auxiliary lattice for large datasets
Ganggang Xu*, Faming Liang and Marc G. Genton |
Sup |
doi:10.5705/ss.2013.085w
61 |
| |
Spatio-temporal models for some data sets in continuous space and discrete time
Samuel Seth Demel and Juan Du* |
|
doi:10.5705/ss.2013.223w
81 |
| |
Full-scale approximations of spatio-temporal covariance models for large datasets
Bohai Zhang, Huiyan Sang* and Jianhua Z. Huang |
Sup |
doi:10.5705/ss.2013.260w
99 |
| |
Exploring a new class of non-stationary spatial Gaussian random fields with varying local anisotropy¡@
Geir-Arne Fuglstad*, Finn Lindgren, Daniel Simpson and Havard Rue |
Sup |
doi:10.5705/ss.2013.106w
115 |
| |
Variance estimation and kriging prediction for a class of non-stationary spatial models
Shu Yang* and Zhengyuan Zhu |
Sup |
doi:10.5705/ss.2013.205w
135 |
| |
Nonstationary multivariate spatial covariance estimation via low-rank regularization
ShengLi Tzeng and Hsin-Cheng Huang* |
Sup |
doi:10.5705/ss.2013.211w
151 |
| |
Regularized estimating equations for model selection of clustered spatial point processes
Andrew L. Thurman, Rao Fu, Yongtao Guan and Jun Zhu*
|
Sup |
doi:10.5705/ss.2013.208w
173 |
| |
Bayesian spatial-temporal modeling of ecological zero-inflated count data
Xia Wang, Ming-Hui Chen, Rita C. Kou and Dipak K. Dey* |
Sup |
doi:10.5705/ss.2013.212w
189 |
| |
Bayesian analysis of spatially-dependent functional responses with spatially-dependent multi-dimensional functional predictors
Wen-Hsi Yang, Christopher K. Wikle*, Scott H. Holan, D. Brenton Myers and Kenneth A. Sudduth |
Sup |
doi:10.5705/ss.2013.245w
205 |
| |
Spatial scan statistics for models with overdispersion and inflated zeros
Max Sousa de Lima, Luiz Henrique Duczmal*, Jose Cardoso Neto and Leticia Pereira Pinto |
Sup |
doi:10.5705/ss.2013.220w
225 |
| |
A composite likelihood approach to computer model calibration with high-dimensional spatial data
Won Chang, Murali Haran*, Roman Olson and Klaus Keller |
Sup |
doi:10.5705/ss.2013.219w
243 |
| |
Quantile regression for spatially correlated data: an empirical likelihood approach
Yunwen Yang* and Xuming He |
Sup |
doi:10.5705/ss.2013.065w
261 |
| |
Panel data partially linear varying-coefficient model with errors correlated in space and time
Yang Bai*, Jianhua Hu and Jinhong You |
Sup |
doi:10.5705/ss.2013.190w
275 |
| |
A sparse reduced rank framework for group analysis of functional neuroimaging data
Mihye Ahn, Haipeng Shen, Weili Lin and Hongtu Zhu* |
Sup |
doi:10.5705/ss.2013.232w
295 |
| |
A spatial scan statistic for compound poisson data, using the negative binomial distribution and accounting for population stratification
Hsing-Ming Chang* and Rhonda J. Rosychuk |
Sup |
doi:10.5705/ss.2013.215w
313 |
| |
Likelihood approximations for big nonstationary spatial temporal lattice data
Joseph Guinness* and Montserrat Fuentes |
Sup |
doi:10.5705/ss.2013.240w
329 |
| |
Statistical prediction of global sea level from global temperature
Peter Guttorp*, Alex Januzzi, Daniel Jones, Marie Novak, Harry Podschwit, Lee Richardson, Aila S ̈arkk ̈a, Colin Sowder and Aaron Zimmerman |
|
doi:10.5705/ss.2013.222w
351 |
A practical approach to spatio-temporal analysis
Huijing Jiang, Angela Schorgendorfer, Youngdeok Hwang and Yasuo Amemiya* |
|
doi:10.5705/ss.2013.262w
369 |
Bayesian models for detecting difference boundaries in areal data
Pei Li, Sudipto Banerjee*, Timothy A. Hanson and Alexander M. McBean |
Sup |
doi:10.5705/ss.2013.238w
385 |
Asymptotically efficient parameter estimation in hidden Markov spatio-temporal random fields
Tze Leung Lai and Johan Lim* |
|
doi:10.5705/ss.2013.281w
403 |