A. Baddeley, E. Rubak, T. , and R. , Spatial Point Patterns: Methodology and Applications with R. Chapman and Hall, p.2015

A. Baddeley, T. , and R. , spatstat: An R package for analyzing spatial point patterns, Journal of Statistical Software, vol.12, issue.6, pp.1-42, 2005.

P. Billingsley, Probability and measure, 1979.

C. A. Biscio and F. Lavancier, Brillinger mixing of determinantal point processes and statistical applications, Electronic Journal of Statistics, vol.10, issue.1, 2015.
DOI : 10.1214/16-EJS1116
URL : https://hal.archives-ouvertes.fr/hal-01179831

C. A. Biscio and F. Lavancier, Quantifying repulsiveness of determinantal point processes, Bernoulli, vol.22, issue.4, 2015.
DOI : 10.3150/15-BEJ718SUPP
URL : https://hal.archives-ouvertes.fr/hal-01003155

D. J. Daley, V. , and D. , An Introduction to the Theory of Point Processes, 2003.

D. J. Daley, V. , and D. , An Introduction to the Theory of Point Processes, II, General Theory and Structure, 2008.

N. Deng, W. Zhou, and M. Haenggi, The Ginibre Point Process as a Model for Wireless Networks With Repulsion, IEEE Transactions on Wireless Communications, vol.14, issue.1, pp.107-121, 2015.
DOI : 10.1109/TWC.2014.2332335

P. Diggle, Statistical Analysis of Spatial Point Patterns, second ed, 2003.

Y. Guan and M. Sherman, On least squares fitting for stationary spatial point processes, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.38, issue.1, pp.31-49, 2007.
DOI : 10.1111/j.1467-9868.2007.00575.x

L. Heinrich, Minimum contrast estimates for parameters of spatial ergodic point processes In Transactions of the 11th Prague conference on random processes, information theory and statistical decision functions, p.492, 1992.

L. Heinrich, Asymptotic Methods in Statistics of Random Point Processes, Stochastic Geometry, pp.115-150
DOI : 10.1007/978-3-642-33305-7_4

E. Jolivet, Central limit theorem and convergence of empirical processes for stationary point processes In Point processes and queuing problems (Colloqium, pp.117-161, 1978.

K. Krickeberg, Processus ponctuels en statistique, Tenth Saint Flour Probability Summer School?1980 (Saint Flour, pp.205-313, 1980.
DOI : 10.1007/BFb0095620

A. Kulesza and B. Taskar, Determinantal Point Processes for Machine Learning, Foundations and Trends?? in Machine Learning, vol.5, issue.2-3, pp.123-286, 2012.
DOI : 10.1561/2200000044

F. Lavancier and J. Møller, Modelling Aggregation on the Large Scale and Regularity on the Small Scale in Spatial Point Pattern Datasets, Scandinavian Journal of Statistics, vol.21, issue.6, 2015.
DOI : 10.1111/sjos.12193
URL : https://hal.archives-ouvertes.fr/hal-01155646

F. Lavancier, J. Møller, R. , and E. , Determinantal point process models and statistical inference, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.4, issue.4, 2014.
DOI : 10.1111/rssb.12096
URL : https://hal.archives-ouvertes.fr/hal-01241077

F. Lavancier, J. Møller, R. , and E. , Determinantal point process models and statistical inference, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.4, issue.4, pp.853-877, 2015.
DOI : 10.1111/rssb.12096
URL : https://hal.archives-ouvertes.fr/hal-01241077

F. Lavancier, R. , and P. , A general procedure to combine estimators, Computational Statistics & Data Analysis, vol.94, 2015.
DOI : 10.1016/j.csda.2015.08.001
URL : https://hal.archives-ouvertes.fr/hal-00936024

O. Macchi, The coincidence approach to stochastic point processes, Advances in Applied Probability, vol.271, issue.01, pp.83-122, 1975.
DOI : 10.1103/RevModPhys.37.231

N. Miyoshi and T. Shirai, A cellular network model with ginibre configurated base stations, 2013.

J. Møller and R. P. Waagepetersen, Statistical Inference and Simulation for Spatial Point Processes, of Monographs on Statistics and Applied Probability. Chapman & Hall/CRC, 2004.
DOI : 10.1201/9780203496930

X. Nguyen and H. Zessin, Ergodic theorems for spatial processes, Zeitschrift f??r Wahrscheinlichkeitstheorie und Verwandte Gebiete, vol.52, issue.2, pp.133-158, 1979.
DOI : 10.1007/BF01886869

R. Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2015.

Z. Sasvári, Multivariate Characteristic and Correlation Functions, 2013.
DOI : 10.1515/9783110223996

T. Shirai and Y. Takahashi, Random point fields associated with certain Fredholm determinants I: fermion, Poisson and boson point processes, Journal of Functional Analysis, vol.205, issue.2, pp.414-463, 2003.
DOI : 10.1016/S0022-1236(03)00171-X

A. Soshnikov, Determinantal random point fields, Russian Mathematical Surveys, vol.55, issue.5, pp.923-975, 2000.
DOI : 10.1070/RM2000v055n05ABEH000321
URL : http://arxiv.org/abs/math/0002099

A. Soshnikov, Gaussian limit for determinantal random point fields. The Annals of Probability, pp.171-187, 2002.

E. Stein and G. Weiss, Introduction to Fourier Analysis on Euclidean Spaces (PMS-32, 1971.
DOI : 10.1515/9781400883899

A. W. Van-der-vaart, Asymptotic Statistics, of Cambridge Series in Statistical and Probabilistic Mathematics, 1998.
DOI : 10.1017/CBO9780511802256

R. Waagepetersen and Y. Guan, Two-step estimation for inhomogeneous spatial point processes, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.39, issue.3, pp.685-702, 2009.
DOI : 10.1111/j.1467-9868.2008.00702.x