Statistica Sinica

Volume 25,  Number 1, January 2015

@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