Baddeley, 2000, Non- and semi-parametric estimation of interaction in inhomogeneous point patterns, Statistica Neerlandica, 54, 329, 10.1111/1467-9574.00144
Baddeley, 1993, Analysis of a three-dimensional point pattern with replication, Applied Statistics, 42, 641, 10.2307/2986181
Banerjee, 2004
Bell, 2004, Mixed models for the analysis of replicated spatial point patterns, Biostatistics, 5, 633, 10.1093/biostatistics/kxh014
Besag, 1977, Comment on ‘Modelling spatial patterns’ by B. D. Ripley, Journal of the Royal Statistical Society, Series B (Methodological), 39, 193
Brooks, 1998, General methods for monitoring convergence of iterative simulation, Journal of Computational and Graphical Statistics, 7, 434
Chilés, 1999
Cressie, 1993
Diggle, 2003
Diggle, 1991, Analysis of variance for replicated spatial point patterns in clinical neuroanatomy, Journal of the American Statistical Association, 86, 618, 10.1080/01621459.1991.10475087
Diggle, 2000, A comparison between parametric and non-parametric approaches to the analysis of replicated spatial point patterns, Advances in Applied Probability, 32, 331, 10.1239/aap/1013540166
Diggle, 2007
Eckel, 2009, Modelling tree roots in mixed forest stands by inhomogeneous marked Gibbs point processes, Biometrical Journal, 51, 522, 10.1002/bimj.200800109
2010
Gelman, 2004
Gelman, 2007, Average predictive comparisons for models with nonlinearity, interactions, and variance components, Sociological Methodology, 37, 23, 10.1111/j.1467-9531.2007.00181.x
Hahn, 2012, A Studentized permutation test for the comparison of spatial point patterns, Journal of the American Statistical Association, 107, 754, 10.1080/01621459.2012.688463
Hoffman, M.D., Gelman, A., 2011. The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. arXiv:1111.4246 [stat.CO].
Illian, 2010, Gibbs point process models with mixed effects, Environmetrics, 21, 341, 10.1002/env.1008
Illian, 2008
Illian, 2012, Using INLA to fit a complex point process model with temporally varying effects—a case study, Journal of Environmental Statistics, 3, 1
Kennedy, 1999, A skin blister method to study epidermal nerves in peripheral nerve disease, Muscle and Nerve, 22, 360, 10.1002/(SICI)1097-4598(199903)22:3<360::AID-MUS9>3.0.CO;2-J
Kennedy, 1996, Quantitation of epidermal nerves in diabetic neuropathy, Neurology, 47, 1042, 10.1212/WNL.47.4.1042
Marshall, 2003, Approximate cross-validatory predictive checks in disease mapping models, Statistics in Medicine, 22, 1649, 10.1002/sim.1403
Marshall, 2007, Identifying outliers in Bayesian hierarchical models: a simulation-based approach, Bayesian Analysis, 2, 409, 10.1214/07-BA218
Matheron, 1973, The intrinsic random functions and their applications, Advances in Applied Probability, 5, 439, 10.2307/1425829
Møller, 1998, Log Gaussian Cox processes, Scandinavian Journal of Statistics, 25, 451, 10.1111/1467-9469.00115
Myllymäki, 2012, Analysis of spatial structure of epidermal nerve entry point patterns based on replicated data, Journal of Microscopy, 247, 228, 10.1111/j.1365-2818.2012.03636.x
Neal, 1999, Regression and classification using Gaussian process priors (with discussion), 475
Neal, 2003, Slice sampling, The Annals of Statistics, 31, 705, 10.1214/aos/1056562461
O’Hagan, 1978, Curve fitting and optimal design for prediction, Journal of the Royal Statistical Society: Series B, 40, 1
Olsbo, 2013, Development and evaluation of spatial point process models for epidermal nerve fibers, Mathematical Biosciences, 243, 178, 10.1016/j.mbs.2013.03.001
Panoutsopoulou, 2009, Skin blister and skin biopsy for quantifying epidermal nerve fibers: a comparative study, Neurology, 72, 1205, 10.1212/01.wnl.0000340984.74563.1c
Rasmussen, 2006
Redenbach, 2009, Anisotropy analysis of pressed point processes, Advances in Statistical Analysis, 93, 237, 10.1007/s10182-009-0106-5
Ripley, 1976, The second-order analysis of stationary point processes, Journal of Applied Probability, 13, 255, 10.2307/3212829
Ripley, 1977, Modelling spatial patterns, Journal of the Royal Statistical Society: Series B, 39, 172
Rue, 2009, Approximate Bayesian inference for latent Gaussian models using integrated nested Laplace approximations (with discussion), Journal of the Royal Statistical Society: Series B, 71, 319, 10.1111/j.1467-9868.2008.00700.x
Schladitz, 2003, Statistical analysis of intramembranous particles using freeze fracture specimens, Journal of Microscopy, 211, 137, 10.1046/j.1365-2818.2003.01210.x
Vanhatalo, 2013, GPstuff: Bayesian modeling with Gaussian processes, Journal of Machine Learning Research, 14, 1175
Vehtari, 2012, A survey of Bayesian predictive methods for model assessment, selection and comparison, Statistics Surveys, 6, 142, 10.1214/12-SS102
Waller, 2011, Second-order spatial analysis of epidermal nerve fibers, Statistics in Medicine, 30, 2827, 10.1002/sim.4315
Wendelschafer-Crabb, 2005, Morphological features of nerves in skin biopsies, Journal of the Neurological Sciences, 242, 15, 10.1016/j.jns.2005.11.010
Yue, 2013, Bayesian nonparametric estimation of pair correlation function for inhomogeneous spatial point processes, Journal of Nonparametric Statistics, 25, 463, 10.1080/10485252.2013.767337