A point process model for generating biofilms with realistic microstructure and rheology
DOI10.1017/S0956792518000220zbMath1407.92021arXiv1707.05739OpenAlexW2963079368MaRDI QIDQ4625086
Jay A. Stotsky, Vanja Dukić, David M. Bortz
Publication date: 20 February 2019
Published in: European Journal of Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1707.05739
Applications of statistics to biology and medical sciences; meta analysis (62P10) Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) Biomechanics (92C10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A 3D numerical study of antimicrobial persistence in heterogeneous multi-species biofilms
- Estimation variances for estimators of product densities and pair correlation functions of planar point processes
- On bandwidth variation in kernel estimates. A square root law
- Stochastic modeling of microstructures
- Variable viscosity and density biofilm simulations using an immersed boundary method, part II: Experimental validation and the heterogeneous rheology-IBM
- A least-squares cross-validation bandwidth selection approach in pair correlation function estimations
- Variable Viscosity and Density Biofilm Simulations using an Immersed Boundary Method, Part I: Numerical Scheme and Convergence Results
- On Consistent Nonparametric Intensity Estimation for Inhomogeneous Spatial Point Processes
- Modeling viscoelastic networks in Stokes flow
- Remarks on Some Nonparametric Estimates of a Density Function
- Phase Field Models for Biofilms. I. Theory and One-Dimensional Simulations
- Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
- Practical Maximum Pseudolikelihood for Spatial Point Patterns
- Bayesian approach to the choice of smoothing parameter in kernel density estimation
- Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation
- Statistical Inference for Spatial Processes
- Simulating Biofilm Deformation and Detachment with the Immersed Boundary Method
- On Estimation of a Probability Density Function and Mode
- Random heterogeneous materials. Microstructure and macroscopic properties
- A Tutorial on Palm Distributions for Spatial Point Processes
This page was built for publication: A point process model for generating biofilms with realistic microstructure and rheology
