World's Best Scientists 2026 revealed!
Rasmus Waagepetersen

Rasmus Waagepetersen

Overview

Rasmus Waagepetersen is affiliated with Aalborg University in Denmark. Their research spans multiple areas within mathematics and applied sciences, with a strong focus on the study of spatial data and statistical methods.

The scientist's recent publications include the following:

  • How Precisely Can Easily Accessible Variables Predict Achilles and Patellar Tendon Forces during Running?, 2021, Sensors
  • Globally intensity-reweighted estimators for K- and pair correlation functions, 2021, Australian & New Zealand Journal of Statistics
  • Nitrogen and Nod factor signaling determine Lotus japonicus root exudate composition and bacterial assembly, 2024, Nature Communications
  • Information criteria for inhomogeneous spatial point processes, 2021, Australian & New Zealand Journal of Statistics
  • Nonparametric estimation of the pair correlation function of replicated inhomogeneous point processes, 2020, Electronic Journal of Statistics

Frequent collaborators of Rasmus Waagepetersen include:

  • Ganggang Xu
  • Yongtao Guan
  • Anne Marie Svane
  • John Rasmussen
  • Ib Thorsgaard Jensen

The scientist publishes regularly in certain academic venues:

  • arXiv (Cornell University)
  • Sensors
  • Australian & New Zealand Journal of Statistics
  • Electronic Journal of Statistics
  • Journal of the American Statistical Association

Rasmus Waagepetersen's main field of study is Mathematics, with a concentration on applied topics.

Subfields of study explored by the scientist include:

  • Applied Mathematics
  • Statistics and Probability
  • Economics and Econometrics
  • Biomedical Engineering
  • Geometry and Topology

The main research topics are:

  • Point processes and geometric inequalities
  • Spatial and Panel Data Analysis
  • Morphological variations and asymmetry
  • Statistical Methods and Inference
  • Economic and Environmental Valuation
  • Statistical Methods and Bayesian Inference
  • Lower Extremity Biomechanics and Pathologies

Best Publications

  • Statistical Inference and Simulation for Spatial Point Processes

    Jesper Moller;Rasmus Plenge Waagepetersen

  • Log Gaussian Cox Processes

    Jesper Møller;Anne Randi Syversveen;Rasmus Plenge Waagepetersen

  • Non-and semi-parametric estimation of interaction in inhomogeneous point patterns

    Adrian Baddeley;J. Moller;R. Waagepetersen

  • Modern Statistics for Spatial Point Processes

    Jesper Møller;Rasmus P. Waagepetersen

  • An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes

    Rasmus Plenge Waagepetersen

  • Bayesian prediction of spatial count data using generalized linear mixed models.

    Ole Fredslund Christensen;Rasmus Plenge Waagepetersen

  • Two-step estimation for inhomogeneous spatial point processes

    Rasmus Waagepetersen;Yongtao Guan

  • Normal linear models with genetically structured residual variance heterogeneity: a case study.

    Daniel Sorensen;Rasmus Waagepetersen

  • A tutorial on reversible jump MCMC with a view toward applications in QTL-mapping

    Rasmus Plenge Waagepetersen;Daniel Sørensen

  • Evidence for Genetic Control of Adult Weight Plasticity in the Snail Helix aspersa

    Mathieu Ros;Daniel Sorensen;Rasmus Plenge Waagepetersen;Mathilde Dupont-Nivet

  • Hierarchical spatial point process analysis for a plant community with high biodiversity

    Janine B. Illian;Jesper Møller;Rasmus P. Waagepetersen

  • Logistic regression for spatial Gibbs point processes

    Adrian Baddeley;Jean-Francois Coeurjolly;Ege Holger Rubak;Rasmus Waagepetersen

  • Decomposition of Variance for Spatial Cox Processes

    Abdollah Jalilian;Yongtao Guan;Rasmus Waagepetersen

  • Convergence of posteriors for discretized log Gaussian Cox processes

    Rasmus Waagepetersen

  • Analysis of multispecies point patterns by using multivariate log‐Gaussian Cox processes

    Rasmus Plenge Waagepetersen;Yongtao Guan;Abdollah Jalilian;Jorge Mateu

  • Selection for environmental variation: a statistical analysis and power calculations to detect response.

    Noelia Ibáñez-Escriche;Daniel Sorensen;Rasmus Waagepetersen;Agustín Blasco

  • Quasi-likelihood for spatial point processes

    Yongtao Guan;Abdollah Jalilian;Rasmus Plenge Waagepetersen

  • Estimating functions for inhomogeneous spatial point processes with incomplete covariate data

    Rasmus Waagepetersen

  • A tutorial on Palm distributions for spatial point processes

    Jean-Francois Coeurjolly;Jesper Møller;Rasmus Plenge Waagepetersen

  • Packing densities and simulated tempering for hard core Gibbs point processes

    S. Mase;Jesper Møller;D. Stoyan;Rasmus Plenge Waagepetersen

Frequent Co-Authors

Jesper Møller
Jesper Møller Aalborg University
Ramjee Prasad
Ramjee Prasad Aarhus University
John Rasmussen
John Rasmussen Aalborg University
Jorge Mateu
Jorge Mateu Jaume I University
Adrian Baddeley
Adrian Baddeley Curtin University
Dietrich Stoyan
Dietrich Stoyan TU Bergakademie Freiberg
Rasmus Nielsen
Rasmus Nielsen University of California, Berkeley
Theodore R. Holford
Theodore R. Holford Yale University
Agustín Blasco
Agustín Blasco Universitat Politècnica de València
Zhe Chen
Zhe Chen Aalborg University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, branching out into related fields can enhance career prospects significantly. One popular pathway is combining analytical skills with business knowledge through an cheapest online marketing degree. This option is not only cost-effective but also aligns well with data-driven decision-making roles.

Many professionals seek to blend quantitative expertise with leadership skills, often considering top-tier best 1 year mba programs. These accelerated programs allow students to quickly pivot into management positions, maximizing their investment in time and resources.

Flexibility is key for working students, and some excellent can you transfer credits into an mba program options make it easier to build on prior coursework. This can shorten program duration and reduce tuition costs, making advanced education more accessible.

For those deeply interested in data and numbers, a masters in data analytics complements a Mathematics background by focusing on extracting valuable insights from large datasets, opening doors to careers in tech, finance, and beyond.

Best Scientists Citing Rasmus Waagepetersen

Trending Scientists

Recently Published Articles