Year |
Citation |
Score |
2020 |
Zhang T, Mateu J. Testing First-Order Spherical Symmetry of Spatial Point Processes Statistica Sinica. DOI: 10.5705/Ss.202018.0214 |
0.344 |
|
2020 |
Lin G, Zhang T. Spatial Regression with Multiple Dependent Variables: Principal Component Analysis and Spatial Autocorrelation Geographical Analysis. 1. DOI: 10.1111/Gean.12235 |
0.334 |
|
2019 |
Zhang T, Mateu J. Substationarity for spatial point processes Journal of Multivariate Analysis. 171: 22-36. DOI: 10.1016/J.Jmva.2018.11.001 |
0.363 |
|
2019 |
Zhang T. General Gaussian estimation Journal of Multivariate Analysis. 169: 234-247. DOI: 10.1016/J.Jmva.2018.09.010 |
0.304 |
|
2018 |
Liu Y, Liu Y, Zhang T. Wald-based spatial scan statistics for cluster detection Computational Statistics & Data Analysis. 127: 298-310. DOI: 10.1016/J.Csda.2018.06.002 |
0.398 |
|
2017 |
Zhang T, Lin G. Asymptotic properties of spatial scan statistics under the alternative hypothesis Bernoulli. 23: 89-109. DOI: 10.3150/15-Bej727 |
0.365 |
|
2017 |
Zhang T, Zhuang R. Testing proportionality between the first-order intensity functions of spatial point processes Journal of Multivariate Analysis. 155: 72-82. DOI: 10.1016/J.Jmva.2016.11.013 |
0.367 |
|
2017 |
Zhang T, Yang B. An exact approach to ridge regression for big data Computational Statistics. 32: 909-928. DOI: 10.1007/S00180-017-0731-5 |
0.324 |
|
2016 |
Wang JF, Zhang TL, Fu BJ. A measure of spatial stratified heterogeneity Ecological Indicators. 67: 250-256. DOI: 10.1016/J.Ecolind.2016.02.052 |
0.385 |
|
2016 |
Zhang T, Lin G. On Moran's i coefficient under heterogeneity Computational Statistics and Data Analysis. 95: 83-94. DOI: 10.1016/J.Csda.2015.09.010 |
0.336 |
|
2015 |
Zhang T. A kolmogorov-smirnov type test for independence between marks and points of marked point processes Electronic Journal of Statistics. 8: 2557-2584. DOI: 10.1214/14-Ejs961 |
0.365 |
|
2015 |
Zhang T, Xue S, Lin G. Spatial parameterization of infant mortality in Anhui Province, China Spatial Statistics. 14: 286-302. DOI: 10.1016/J.Spasta.2015.06.007 |
0.367 |
|
2014 |
Zhang T, Zhuang Q. On the local odds ratio between points and marks in marked point processes Spatial Statistics. DOI: 10.1016/J.Spasta.2013.12.002 |
0.331 |
|
2014 |
Zhang T, Lin G. Family of power divergence spatial scan statistics Computational Statistics & Data Analysis. 75: 162-178. DOI: 10.1016/J.Csda.2014.02.003 |
0.374 |
|
2014 |
Zhang T, Zhou B. Test for the First-Order Stationarity for Spatial Point Processes in Arbitrary Regions Journal of Agricultural Biological and Environmental Statistics. 19: 387-404. DOI: 10.1007/S13253-014-0177-Y |
0.386 |
|
2013 |
Zhang T, Lin G. On the limiting distribution of the spatial scan statistic Journal of Multivariate Analysis. 122: 215-225. DOI: 10.1016/J.Jmva.2013.08.005 |
0.405 |
|
2012 |
Zhang T, Zhang Z, Lin G. Spatial scan statistics with overdispersion. Statistics in Medicine. 31: 762-74. PMID 22052573 DOI: 10.1002/Sim.4404 |
0.393 |
|
2012 |
Lin G, Zhang T. Examining Extreme Weather Effects on Birth Weight From the Individual Effect to Spatiotemporal Aggregation Effects Journal of Agricultural Biological and Environmental Statistics. 17: 490-507. DOI: 10.1007/S13253-012-0102-1 |
0.306 |
|
2012 |
Wan H, Zhang T, Zhu Y. Detection and localization of hidden radioactive sources with spatial statistical method Annals of Operations Research. 192: 87-104. DOI: 10.1007/S10479-010-0805-Z |
0.363 |
|
2009 |
Zhang T, Lin G. Cluster detection based on spatial associations and iterated residuals in generalized linear mixed models. Biometrics. 65: 353-60. PMID 18549423 DOI: 10.1111/J.1541-0420.2008.01069.X |
0.39 |
|
2009 |
Zhang T, Lin G. Spatial scan statistics in loglinear models Computational Statistics & Data Analysis. 53: 2851-2858. DOI: 10.1016/J.Csda.2008.09.016 |
0.409 |
|
2008 |
Zhang T, Lin G. Identification of local clusters for count data: a model-based Moran's I test Journal of Applied Statistics. 35: 293-306. DOI: 10.1080/02664760701833248 |
0.381 |
|
2008 |
Zhang T. Limiting distribution of the G statistics Statistics and Probability Letters. 78: 1656-1661. DOI: 10.1016/J.Spl.2008.01.023 |
0.307 |
|
2007 |
Zhang T, Lin G. A decomposition of Moran's I for clustering detection Computational Statistics & Data Analysis. 51: 6123-6137. DOI: 10.1016/J.Csda.2006.12.032 |
0.345 |
|
2006 |
Zhang T, Lin G. A Supplemental Indicator of High‐Value or Low‐Value Spatial Clustering Geographical Analysis. 38: 209-225. DOI: 10.1111/J.0016-7363.2006.00683.X |
0.317 |
|
2006 |
Zhang T. A modification for bayesian credible intervals Communications in Statistics - Theory and Methods. 35: 1703-1711. DOI: 10.1080/03610920600683838 |
0.316 |
|
2004 |
Lin G, Zhang T. A method for testing low-value spatial clustering for rare diseases. Acta Tropica. 91: 279-89. PMID 15246933 DOI: 10.1016/J.Actatropica.2004.05.006 |
0.339 |
|
2003 |
Zhang T, Woodroofe M. Credible and confidence sets for restricted parameter spaces Journal of Statistical Planning and Inference. 115: 479-490. DOI: 10.1016/S0378-3758(02)00170-2 |
0.516 |
|
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