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Research Output 2008 2019

2019

Leverage and influence diagnostics for Gibbs spatial point processes

Baddeley, A., Rubak, E. & Turner, R., Mar 2019, In : Spatial Statistics. 29, p. 15-48 34 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Influence Diagnostics
Spatial Point Process
Composite Likelihood
Leverage
Diagnostics
3 Citations (Scopus)

Resample-smoothing of Voronoi intensity estimators

Moradi, M. M., Cronie, O., Rubak, E., Lachieze-Rey, R., Mateu, J. & Baddeley, A., 19 Jan 2019, In : Statistics and Computing. 16 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
Voronoi
Smoothing
Estimator
Linear networks
Highway accidents
2018
12 Citations (Scopus)

Determinantal point process models on the sphere

Møller, J., Nielsen, M., Porcu, E. & Rubak, E. H., 2018, In : Bernoulli. 24, 2, p. 1171-1201 31 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Point Process
Process Model
Covariance Function
kernel
Moment
2016
3 Citations (Scopus)

Adjusted composite likelihood ration test for spatial Gibbs point processes

Baddeley, A., Turner, R. & Rubak, E. H., 2016, In : Journal of Statistical Computation and Simulation. 86, 5, p. 922-941 20 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Determinantal point processes and functional summary statistics on the sphere

Møller, J. & Rubak, E. H., 14 Jan 2016, 26 p. (CSGB Research Report; No. 2).

Research output: Book/ReportReportResearch

Open Access
5 Citations (Scopus)

Functional summary statistics for point processes on the sphere with an application to determinantal point processes

Møller, J. & Rubak, E. H., Nov 2016, In : Spatial Statistics. 18, Part A, p. 4-23 20 p.

Research output: Contribution to journalJournal articleResearchpeer-review

2 Citations (Scopus)

Mechanistic Spatio-Temporal Point Process Models for Marked Point Processes, with a View to Forest Stand Data

Møller, J., Ghorbani, M. & Rubak, E. H., Sep 2016, In : Biometrics. 72, 3, p. 687-696 10 p.

Research output: Contribution to journalJournal articleResearchpeer-review

2015
63 Citations (Scopus)

Determinantal point process models and statistical inference

Lavancier, F., Møller, J. & Rubak, E. H., 2015, In : Journal of the Royal Statistical Society, Series B (Statistical Methodology). 77, 4, p. 853-877 25 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Determinantal point process models on the sphere

Møller, J., Nielsen, M., Porcu, E. & Rubak, E. H., 2015, CSGB, Institut for Matematik, Aarhus Universitet. 30 p. (CSGB Research Report; No. 13).

Research output: Book/ReportReportResearch

Open Access

Spatial Point Patterns: Methodology and Applications with R

Baddeley, A., Rubak, E. H. & Turner, R., 2015, CRC Press. 810 p. (Chapman & Hall/CRC Interdisciplinary Statistics).

Research output: Book/ReportBookResearchpeer-review

2014

Adjusted composite likelihood ratio test for spatial Gibbs point processes

Baddeley, A., Turner, R. & Rubak, E. H., 2014, CSGB, Institut for Matematik, Aarhus Universitet. 19 p. (CSGB Research Report; No. 14-13).

Research output: Book/ReportReportResearch

23 Citations (Scopus)

Logistic regression for spatial Gibbs point processes

Baddeley, A., Coeurjolly, J-F., Rubak, E. H. & Waagepetersen, R., 2014, In : Biometrika. 101, 2, p. 377-392 16 p.

Research output: Contribution to journalJournal articleResearchpeer-review

558 Downloads (Pure)

Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data

Møller, J., Ghorbani, M. & Rubak, E. H., Aug 2014, Department of Mathematical Sciences, Aalborg University. 16 p. (Research Report Series; No. R-2014-07).

Research output: Book/ReportReportResearch

File
2013
10 Citations (Scopus)

Fast covariance estimation for innovations computed from a spatial Gibbs point process

Coeurjolly, J. & Rubak, E. H., 2013, In : Scandinavian Journal of Statistics. 40, 4, p. 669-684 16 p.

Research output: Contribution to journalJournal articleResearchpeer-review

2012

Fast covariance estimation for innovations computed from a spatial Gibbs point process

Coeurjolly, J-F. & Rubak, E. H., 2012, CSGB, Institut for Matematik, Aarhus Universitet. 19 p. (CSGB Research Report; No. 03).

Research output: Book/ReportReportResearch

236 Downloads (Pure)

Statistical aspects of determinantal point processes

Lavancier, F., Møller, J. & Rubak, E. H., May 2012, Department of Mathematical Sciences, Aalborg University. 47 p. (Research Report Series; No. R-2012-02).

Research output: Book/ReportReportResearch

File
Point Process
Statistical Inference
Stationary point
Stationary Process
Parametric Model
2011
15 Citations (Scopus)

Score, pseudo-score and residual diagnostics for spatial point process models.

Baddeley, A., Rubak, E. H. & Møller, J., 2011, In : Statistical Science. 26, 4, p. 613-646 34 p.

Research output: Contribution to journalJournal articleResearchpeer-review

2010
2 Citations (Scopus)

A Model for Positively Correlated Count Variables

Møller, J. & Rubak, E. H., 2010, In : International Statistical Review. 78, 1, p. 65-80 16 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Random Field
Count
Random variable
Non-negative
Model
579 Downloads (Pure)

Likelihood Based Inference and Diagnostics for Spatial Data Models

Rubak, E. H., 2010, Department of Mathematical Sciences, Aalborg University. 137 p. (PhD Report Series; No. 18).

Research output: Book/ReportPh.D. thesisResearch

File
244 Downloads (Pure)

Score, pseudo-score and residual diagnostics for goodness-of-fit of spatial point process models

Baddeley, A., Rubak, E. H. & Møller, J., Aug 2010, Department of Mathematical Sciences, Aalborg University. 47 p. (Research Report Series; No. R-2010-06).

Research output: Book/ReportReportResearch

File
software
statistics
analysis
method
test
200 Downloads (Pure)

Statistical inference for a class of multivariate negative binomial distributions

Rubak, E. H., Møller, J. & McCullagh, P., Aug 2010, Department of Mathematical Sciences, Aalborg University. 25 p. (Research Report Series; No. R-2010-10).

Research output: Book/ReportReportResearch

File
Negative binomial distribution
Statistical Inference
Random Field
Composite Likelihood
Quasi-maximum Likelihood
2008
185 Downloads (Pure)

Properties and simulation of α-permanental random fields

Møller, J. & Rubak, E. H., 2008, Aalborg: Department of Mathematical Sciences, Aalborg University. 32 p. (Research Report Series; No. R-2008-13).

Research output: Book/ReportReportResearch

Open Access
File
Random Field
Simulation
Probability generating function
Random variable
Moment