Globally intensity- reweighted estimators for K- and pair correlation functions
dc.contributor.author | Shaw, Thomas | |
dc.contributor.author | M⊘ller, Jesper | |
dc.contributor.author | Waagepetersen, Rasmus Plenge | |
dc.date.accessioned | 2021-08-03T18:16:11Z | |
dc.date.available | 2022-04-03 14:16:10 | en |
dc.date.available | 2021-08-03T18:16:11Z | |
dc.date.issued | 2021-03 | |
dc.identifier.citation | Shaw, Thomas; M⊘ller, Jesper ; Waagepetersen, Rasmus Plenge (2021). "Globally intensity- reweighted estimators for K- and pair correlation functions." Australian & New Zealand Journal of Statistics (1): 93-118. | |
dc.identifier.issn | 1369-1473 | |
dc.identifier.issn | 1467-842X | |
dc.identifier.uri | https://hdl.handle.net/2027.42/168492 | |
dc.publisher | Chapman & Hall/CRC Press | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | second- order intensity- reweighted stationarity | |
dc.subject.other | spatial point process | |
dc.subject.other | pair correlation function | |
dc.subject.other | inhomogeneous K- function | |
dc.subject.other | intensity function | |
dc.subject.other | kernel estimation | |
dc.title | Globally intensity- reweighted estimators for K- and pair correlation functions | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Mathematics | |
dc.subject.hlbtoplevel | Science | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/168492/1/anzs12318_am.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/168492/2/anzs12318.pdf | |
dc.identifier.doi | 10.1111/anzs.12318 | |
dc.identifier.source | Australian & New Zealand Journal of Statistics | |
dc.identifier.citedreference | M- ller, J. & Waagepetersen, R.P. ( 2004 ). Statistical Inference and Simulation for Spatial Point Processes. Boca Raton: Chapman & Hall/CRC Press. | |
dc.identifier.citedreference | Baddeley, A., Rubak, E. & Turner, R. ( 2015 ). Spatial Point Patterns: Methodology and Applications with R. London: Chapman & Hall/CRC Press. | |
dc.identifier.citedreference | Baddeley, A.J., M- ller, J. & Waagepetersen, R. ( 2000 ). Non- and semi- parametric estimation of interaction in inhomogeneous point patterns. Statistica Neerlandica 54, 329 - 350. | |
dc.identifier.citedreference | Chiu, S., Stoyan, D., Kendall, W. & Mecke, J. ( 2013 ). Stochastic Geometry and its Applications. Wiley Series in Probability and Statistics, Chichester: John Wiley & Sons, Ltd. | |
dc.identifier.citedreference | Coeurjolly, J.F., M- ller, J. & Waagepetersen, R. ( 2017 ). A tutorial on Palm distributions for spatial point processes. International Statistical Review 85, 404 - 420. | |
dc.identifier.citedreference | Cronie, O. & Van Lieshout, M.N.M. ( 2018 ). A non- model- based approach to bandwidth selection for kernel estimators of spatial intensity functions. Biometrika 105, 455 - 462. | |
dc.identifier.citedreference | Diggle, P. ( 1985 ). A kernel method for smoothing point process data. Journal of the Royal Statistical Society: Series C (Applied Statistics) 34, 138 - 147. | |
dc.identifier.citedreference | Gabriel, E. & Diggle, P.J. ( 2009 ). Second- order analysis of inhomogeneous spatio- temporal point process data. Statistica Neerlandica 63, 43 - 51. | |
dc.identifier.citedreference | Illian, J., Penttinen, A., Stoyan, H. & Stoyan, D. ( 2008 ). Statistical Analysis and Modelling of Spatial Point Patterns. Statistics in Practice, Chichester: John Wiley & Sons, Ltd. | |
dc.identifier.citedreference | Lavancier, F., M- ller, J. & Rubak, E. ( 2015 ). Determinantal point process models and statistical inference. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 77, 853 - 877. | |
dc.identifier.citedreference | Lawrence, T., Baddeley, A.J., Milne, R. & Nair, G. ( 2016 ). Point pattern analysis on a region of a sphere. Stat 5, 144 - 157. | |
dc.identifier.citedreference | Liao, J.G. & Berg, A. ( 2019 ). Sharpening Jensen’s inequality. The American Statistician 73, 278 - 281. | |
dc.identifier.citedreference | M- ller, J. & Ghorbani, M. ( 2012 ). Aspects of second- order analysis of structured inhomogeneous spatio- temporal point processes. Statistica Neerlandica 66, 472 - 491. | |
dc.identifier.citedreference | M- ller, J. & Rubak, E. ( 2016 ). Functional summary statistics for point processes on the sphere with an application to determinantal point processes. Spatial Statistics 18, 4 - 23. | |
dc.identifier.citedreference | M- ller, J., Syversveen, A.R. & Waagepetersen, R.P. ( 1998 ). Log Gaussian Cox processes. Scandinavian Journal of Statistics 25, 451 - 482. | |
dc.identifier.citedreference | M- ller, J. & Waagepetersen, R.P. ( 2007 ). Modern statistics for spatial point processes. Scandinavian Journal of Statistics 34, 643 - 711. | |
dc.identifier.citedreference | Ohser, J. & Stoyan, D. ( 1981 ). On the second- order and orientation analysis of planar stationary point processes. Biometrical Journal 23, 523 - 533. | |
dc.identifier.citedreference | R Core Team. ( 2020 ). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R - project.org/ [Last accessed 18 Feb 2021.] | |
dc.identifier.citedreference | Ripley, B.D. ( 1988 ). Statistical Inference for Spatial Processes. Cambridge: Cambridge University Press. | |
dc.identifier.citedreference | Shaw, T. ( 2020 ). globalKinhom: Inhomogeneous K- And Pair Correlation Functions Using Global Estimators. R package version 0.1.2. Available from https://CRAN.R - project.org/package=globalKinhom [Last accessed 18 Feb 2021.] | |
dc.identifier.citedreference | Stone, M.B., Shelby, S.A., Núñez, M.F., Wisser, K. & Veatch, S.L. ( 2017 ). Protein sorting by lipid phase- like domains supports emergent signaling function in B lymphocyte plasma membranes. eLife 6, e19891. | |
dc.identifier.citedreference | van Lieshout, M.N.M. ( 2011 ). A J - function for inhomogeneous point processes. Statistica Neerlandica 65, 183 - 201. | |
dc.identifier.citedreference | Van Lieshout, M.N.M. ( 2012 ). On estimation of the intensity function of a point process. Methodology and Computing in Applied Probability 14, 567 - 578. | |
dc.identifier.citedreference | Waagepetersen, R. & Guan, Y. ( 2009 ). Two- step estimation for inhomogeneous spatial point processes. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 71, 685 - 702. | |
dc.identifier.citedreference | Lang, G. & Marcon, E. ( 2013 ). Testing randomness of spatial point patterns with the Ripley statistic. ESAIM: Probability and Statistics 17, 767 - 788. | |
dc.working.doi | NO | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.