J. Møller

发表

Characterization results and Markov chain Monte Carlo algorithms including exact simulation for some spatial point processes

Olle Häggström, M. V. Lieshout, J. Møller, 1999 .

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

J. Møller, E. Rubak, Jesper Møller, 2016, 1601.03448.

Thinning spatial point processes into Poisson processes

F. Schoenberg, J. Møller, Jesper Møller, 2010, Advances in Applied Probability.

Perfect simulation of conditionally specified models

J. Møller, 1999 .

Nearest-Neighbour Markov Point Processes and Random Sets

A. Baddeley, J. Møller, Jesper Møller, 1989 .

Determinantal point process models and statistical inference

J. Møller, E. Rubak, F. Lavancier, 2012, 1205.4818.

Perfect simulation and moment properties for the Matérn type III process

R. Wolpert, J. Møller, M. Huber, 2010 .

Perfect simulation of Hawkes processes

J. Rasmussen, J. Møller, Jesper Møller, 2005, Advances in Applied Probability.

Perfect simulation using dominating processes on ordered spaces, with application to locally stable point processes

W. Kendall, J. Møller, Jesper Møller, 2000, Advances in Applied Probability.

Likelihood and Non‐parametric Bayesian MCMC Inference for Spatial Point Processes Based on Perfect Simulation and Path Sampling

K. K. Berthelsen, J. Møller, Jesper Møller, 2003 .

CENTRE FOR STOCHASTIC GEOMETRY AND ADVANCED BIOIMAGING

J. Rasmussen, J. Møller, Jesper Møller, 2013 .

Gaussian-log-Gaussian wavelet trees, frequentist and Bayesian inference, and statistical signal processing applications

J. Møller, R. D. Jacobsen, 2014 .

Variational approach for spatial point process intensity estimation

J. Møller, J. Coeurjolly, Jesper Møller, 2014, 1407.0249.

Shot noise Cox processes

J. Møller, Jesper Møller, 2003, Advances in Applied Probability.

Properties of spatial Cox process models

J. Møller, Jesper Møller, 2005 .

Determinantal point process models on the sphere

J. Møller, E. Rubak, E. Porcu, 2016, 1607.03675.

NON‐PARAMETRIC BAYESIAN INFERENCE FOR INHOMOGENEOUS MARKOV POINT PROCESSES

Jesper Møller, Kasper Klitgaard Berthelsen, K. K. Berthelsen, 2008 .

Perfect simulation for sample-based inference

Geoff K. Nicholls, Jesper Møller, G. Nicholls, 1999 .

Spatial cluster point processes related to Poisson–Voronoi tessellations

J. Rasmussen, J. Møller, Jesper Møller, 2015, Stochastic Environmental Research and Risk Assessment.

Properties of residuals for spatial point processes

A. Pakes, A. Baddeley, J. Møller, 2008 .

MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes

J. Møller, Mario Beraha, R. Argiento, 2020, J. Comput. Graph. Stat..

Spatial-Temporal Modeling of Forest Gaps Generated by Colonization From Below- and Above-Ground Bark Beetle Species

Jun Zhu, Jakob Gulddahl Rasmussen, Jesper Møller, 2008 .

Investigations of the effects of random sampling schemes on the stability of generalized sampling

M. Nielsen, J. Møller, R. D. Jacobsen, 2016, Applied and Computational Harmonic Analysis.

The Hawkes Process with Different Exciting Functions and its Asymptotic Behavior

Jesper Møller, Víctor Leiva, Raúl Fierro, 2015, Journal of Applied Probability.

Aalborg Universitet Thinning spatial point processes into Poisson processes

J. Møller, Frederic Paik, 2008 .

A primer on perfect simulation for spatial point processes

K. K. Berthelsen, J. Møller, 2002 .

Structured Space-Sphere Point Processes and K-Functions

Andreas D. Christoffersen, J. Møller, F. Cuevas-Pacheco, 2018, Methodology and Computing in Applied Probability.

Predisposition to bark beetle attack by root herbivores and associated pathogens: Roles in forest decline, gap formation, and persistence of endemic bark beetle populations

J. Rasmussen, J. Møller, Jun Zhu, 2010 .

Determinantal shot noise Cox processes

J. Møller, Ninna Vihrs, Jesper Møller, 2021, Stat.

MODELLING POINT PATTERNS WITH LINEAR STRUCTURES

J. Rasmussen, J. Møller, 2009 .

Cox processes driven by transformed Gaussian processes on linear networks—A review and new contributions

J. Rasmussen, J. Møller, Jakob G. Rasmussen, 2022, Scandinavian Journal of Statistics.

A primer on perfect simulation for spatial point processes

K. K. Berthelsen, J. Møller, Jesper Møller, 2002 .

The Accumulated Persistence Function, a New Useful Functional Summary Statistic for Topological Data Analysis, With a View to Brain Artery Trees and Spatial Point Process Applications

Jesper Møller, J. Møller, C. Biscio, 2016, Journal of Computational and Graphical Statistics.

Gamma-type results and other related properties of Poisson processes

Jesper Møller, Sergei Zuyev, J. Møller, 1996, Advances in Applied Probability.

Score, Pseudo-Score and Residual Diagnostics for Spatial Point Process Models

Adrian Baddeley, Ege Rubak, Jesper Moller, 2011, 1205.3918.

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

Adrian Baddeley, Ege Holger Rubak, Jesper Møller, 2010 .

Determinantal point process models and statistical inference: Extended version

J. Møller, E. Rubak, F. Lavancier, 2014 .

Transforming Spatial Point Processes into Poisson Processes Using Random Superposition

Jesper Møller, Kasper Klitgaard Berthelsen, K. K. Berthelsen, 2012, Advances in Applied Probability.

Generalised shot noise Cox processes

Jesper Møller, Giovanni Luca Torrisi, G. Torrisi, 2005, Advances in Applied Probability.

Perfect Metropolis-Hastings simulation of locally stable point processes

Jesper Møller, Wilfred S. Kendall, J. Møller, 1999 .

Should We Condition on the Number of Points When Modelling Spatial Point Patterns?

J. Møller, Ninna Vihrs, Jesper Møller, 2021, International Statistical Review.

A Model for Positively Correlated Count Variables

J. Møller, E. Rubak, Jesper Møller, 2010 .

Fingerprint analysis with marked point processes

Steffen Lauritzen, Jesper Moller, S. Lauritzen, 2014, 1407.5809.

Isotropic covariance functions on graphs and their edges

Ethan Anderes, Jakob G. Rasmussen, Jesper Moller, 2017, The Annals of Statistics.

On the Modeling and Analysis of Heterogeneous Radio Access Networks Using a Poisson Cluster Process

Gerhard Fettweis, Jesper Møller, Vinay Suryaprakash, 2015, IEEE Transactions on Wireless Communications.

Determinantal point processes and functional summary statistics on the sphere

J. Møller, E. Rubak, Jesper Møller, 2016 .

Modelling spine locations on dendrite trees using inhomogeneous Cox point processes

J. Møller, Heidi S. Christensen, Jesper Møller, 2019, Spatial Statistics.

Pair correlation functions and limiting distributions of iterated cluster point processes

Jesper Møller, Andreas D. Christoffersen, J. Møller, 2017, J. Appl. Probab..

Spatial statistics and computational methods

Jesper Møller, J. Møller, 2003 .

Quick inference for log Gaussian Cox processes with non-stationary underlying random fields

J. Møller, S. Soubeyrand, T. Mrkvička, 2019, Spatial Statistics.