Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Holley, R. A.
and
Stroock, D. W.
1978.
Nearest neighbor birth and death processes on the real line.
Acta Mathematica,
Vol. 140,
Issue. 0,
p.
103.
Penrose, Mathew D.
2008.
Existence and spatial limit theorems for lattice and continuum particle systems.
Probability Surveys,
Vol. 5,
Issue. none,
Finkelshtein, Dmitri L.
Kondratiev, Yuri G.
and
Oliveira, Maria Joã o
2009.
Markov evolutions and hierarchical equations in the continuum. I: one-component systems.
Journal of Evolution Equations,
Vol. 9,
Issue. 2,
p.
197.
Faggionato, A.
Roberto, C.
and
Toninelli, C.
2014.
Universality for one-dimensional hierarchical coalescence processes with double and triple merges.
The Annals of Applied Probability,
Vol. 24,
Issue. 2,
Schuhmacher, Dominic
and
Stucki, Kaspar
2014.
Gibbs point process approximation: Total variation bounds using Stein’s method.
The Annals of Probability,
Vol. 42,
Issue. 5,
Sankararaman, Abishek
and
Baccelli, Francois
2016.
Spatial birth-death wireless networks.
p.
916.
Decreusefond, Laurent
Schulte, Matthias
and
Thäle, Christoph
2016.
Functional Poisson approximation in Kantorovich–Rubinstein distance with applications to U-statistics and stochastic geometry.
The Annals of Probability,
Vol. 44,
Issue. 3,
Sankararaman, Abishek
and
Baccelli, Francois
2017.
Spatial Birth–Death Wireless Networks.
IEEE Transactions on Information Theory,
Vol. 63,
Issue. 6,
p.
3964.
Dobra, Adrian
and
Mohammadi, Reza
2018.
Loglinear model selection and human mobility.
The Annals of Applied Statistics,
Vol. 12,
Issue. 2,
Chandler, Richard B.
Engebretsen, Kristin
Cherry, Michael J.
Garrison, Elina P.
Miller, Karl V.
and
Fisher, Diana
2018.
Estimating recruitment from capture–recapture data by modelling spatio‐temporal variation in birth and age‐specific survival rates.
Methods in Ecology and Evolution,
Vol. 9,
Issue. 10,
p.
2115.
Manjrekar, Mayank
2018.
A hard-core stochastic process with simultaneous births and deaths.
Stochastic Models,
Vol. 34,
Issue. 4,
p.
375.
Jennings, Dale
and
Corcoran, Jem N.
2018.
A BIRTH AND DEATH PROCESS FOR BAYESIAN NETWORK STRUCTURE INFERENCE.
Probability in the Engineering and Informational Sciences,
Vol. 32,
Issue. 4,
p.
615.
Sadahiro, Yukio
2019.
Analysis of the appearance and disappearance of point objects over time.
International Journal of Geographical Information Science,
Vol. 33,
Issue. 2,
p.
215.
Quan, Yibo
Kelif, Jean-Marc
and
Coupechoux, Marceau
2021.
Spatio-Temporal Wireless D2D Network With Beamforming.
p.
1.
Michelen, Marcus
and
Perkins, Will
2022.
Strong Spatial Mixing for Repulsive Point Processes.
Journal of Statistical Physics,
Vol. 189,
Issue. 1,
2022.
Data Analysis and Related Applications 1.
p.
317.
Quan, Yibo
Coupechoux, Marceau
and
Kelif, Jean-Marc
2022.
Spatio-Temporal Wireless D2D Network With Imperfect Beam Alignment.
p.
2346.
Bobrowski, Omer
Schulte, Matthias
and
Yogeshwaran, D.
2022.
Poisson process approximation under stabilization and Palm coupling.
Annales Henri Lebesgue,
Vol. 5,
Issue. ,
p.
1489.
Last, Günter
Peccati, Giovanni
and
Yogeshwaran, D.
2023.
Phase transitions and noise sensitivity on the Poisson space via stopping sets and decision trees.
Random Structures & Algorithms,
Vol. 63,
Issue. 2,
p.
457.
Kaakai, Sarah
and
El Karoui, Nicole
2023.
Birth Death Swap population in random environment and aggregation with two timescales.
Stochastic Processes and their Applications,
Vol. 162,
Issue. ,
p.
218.