Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Møller, Jesper
and
Rasmussen, Jakob G.
2005.
Perfect simulation of Hawkes processes.
Advances in Applied Probability,
Vol. 37,
Issue. 03,
p.
629.
2007.
Discussion of ‘Modern Statistics for Spatial Point Processes’.
Scandinavian Journal of Statistics,
Vol. 34,
Issue. 4,
p.
685.
Kottas, Athanasios
and
Sansó, Bruno
2007.
Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysis.
Journal of Statistical Planning and Inference,
Vol. 137,
Issue. 10,
p.
3151.
Bordenave, Charles
and
Torrisi, Giovanni Luca
2007.
Large Deviations of Poisson Cluster Processes.
Stochastic Models,
Vol. 23,
Issue. 4,
p.
593.
MØLLER, JESPER
and
WAAGEPETERSEN, RASMUS P.
2007.
Modern Statistics for Spatial Point Processes*.
Scandinavian Journal of Statistics,
Vol. 34,
Issue. 4,
p.
643.
Schneider, Gaby
2008.
Messages of Oscillatory Correlograms: A Spike Train Model.
Neural Computation,
Vol. 20,
Issue. 5,
p.
1211.
Schneider, Gaby
2008.
Messages of Oscillatory Correlograms: A Spike Train Model.
Neural Computation,
Vol. 20,
Issue. 5,
p.
1211.
Hellmund, Gunnar
Prokešová, Michaela
and
Vedel Jensen, Eva B.
2008.
Lévy-based Cox point processes.
Advances in Applied Probability,
Vol. 40,
Issue. 03,
p.
603.
Błaszczyszyn, Bartłomiej
and
Yogeshwaran, D.
2009.
Directionally convex ordering of random measures, shot noise fields, and some applications to wireless communications.
Advances in Applied Probability,
Vol. 41,
Issue. 3,
p.
623.
Isham, Valerie
2010.
Handbook of Spatial Statistics.
Vol. 20103158,
Issue. ,
p.
283.
Bingmer, Markus
Schiemann, Julia
Roeper, Jochen
and
Schneider, Gaby
2011.
Measuring burstiness and regularity in oscillatory spike trains.
Journal of Neuroscience Methods,
Vol. 201,
Issue. 2,
p.
426.
Møller, Jesper
and
Ghorbani, Mohammad
2012.
Aspects of second‐order analysis of structured inhomogeneous spatio‐temporal point processes.
Statistica Neerlandica,
Vol. 66,
Issue. 4,
p.
472.
Suryaprakash, Vinay
Moller, Jesper
and
Fettweis, Gerhard
2015.
On the Modeling and Analysis of Heterogeneous Radio Access Networks Using a Poisson Cluster Process.
IEEE Transactions on Wireless Communications,
Vol. 14,
Issue. 2,
p.
1035.
Dassios, Angelos
Jang, Jiwook
and
Zhao, Hongbiao
2015.
A risk model with renewal shot-noise Cox process.
Insurance: Mathematics and Economics,
Vol. 65,
Issue. ,
p.
55.
Chen, Yiqing
2019.
A Renewal Shot Noise Process with Subexponential Shot Marks.
Risks,
Vol. 7,
Issue. 2,
p.
63.
Clarenne, Adrien
2019.
Macroscopic analysis of shot-noise Cox random balls.
Journal of Mathematical Analysis and Applications,
Vol. 480,
Issue. 1,
p.
123390.
Zabini, Flavio
2019.
Spatially Distributed Molecular Communications via Diffusion: Second-Order Analysis.
IEEE Transactions on Molecular, Biological and Multi-Scale Communications,
Vol. 5,
Issue. 2,
p.
112.
Straub, Benjamin
and
Schneider, Gaby
2020.
A Model for the Study of the Increase in Stimulus and Change Point Detection with Small and Variable Spiking Delays.
Neural Computation,
Vol. 32,
Issue. 7,
p.
1277.
Andersson, Claes
and
Mrkvička, Tomáš
2020.
Inference for cluster point processes with over- or under-dispersed cluster sizes.
Statistics and Computing,
Vol. 30,
Issue. 6,
p.
1573.
Leung, Sze Him
Loh, Ji Meng
Yau, Chun Yip
and
Zhu, Zhengyuan
2021.
Spatial Sampling Design Using Generalized Neyman–Scott Process.
Journal of Agricultural, Biological and Environmental Statistics,
Vol. 26,
Issue. 1,
p.
105.