Aila Särkkä
My research areas are spatial statistics and spatio-temporal modelling. A lot of my earlier research has been on Gibbs point processes, especially on pseudo-likelihood estimation and construction of new models. More recently, I have been working on spatio-temporal models, and developed edge-corrected estimation methods for spatio-temporal data. Currently, I am mainly working on 3D microscopy point pattern data with replicates, where the main challenges are heterogeneity and anisotropy. My main application areas are materials science and neurology.
Showing 61 publications
Statistical modeling of diabetic neuropathy: Exploring the dynamics of nerve mortality
Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests
Tests for isotropy in spatial point patterns – A comparison of statistical indices
Pairwise interaction Markov model for 3D epidermal nerve fibre endings
Tessellation-based stochastic modelling of 3D coating structures imaged with FIB-SEM tomography
Spatial modeling of epidermal nerve fiber patterns
Stochastic modelling of 3D fiber structures imaged with X-ray microtomography
Point process models for sweat gland activation observed with noise
Marked point process analysis of epidermal nerve fibres
Second order analysis of geometric anisotropic point processes revisited
Raster Image Correlation Spectroscopy Performance Evaluation
A Bayesian hierarchical point process model for epidermal nerve fiber patterns
Colloidal particle aggregation in three dimensions
Single particle raster image analysis of diffusion for particle mixtures
A review on anisotropy analysis of spatial point patterns
Hierarchical models for epidermal nerve fiber data
Single particle raster image analysis of diffusion
A three-dimensional anisotropic point process characterization for pharmaceutical coatings
Estimating geometric anisotropy in spatial point patterns
Characterization of pore structure of polymer blended films used for controlled drug release
What we look at in paintings: A comparison between experienced and inexperienced art viewers
Discovering early diabetic neuropathy from epidermal nerve fiber patterns
From static micrographs to particle aggregation dynamics in three dimensions
Variational Bayes approach for classification of points in superpositions of point processes
Statistical Prediction of Global Sea Level From Global Temperature
Classification of Points in Superpositions of Strauss and Poisson Processes
Identifying directional persistence in intracellular particle motion using Hidden Markov Models
Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates
Assessing the Uncertainty in Projecting Local Mean Sea Level from Global Temperature
Automatic Particle Detection in Microscopy Using Temporal Correlations
What mark variograms tell about spatial plant interactions
Parameter estimation for growth interaction processes using spatio-temporal information
Self-calibrated concentration measurements of polydisperse nanoparticles
Development and evaluation of spatial point process models for epidermal nerve fibers
Analysis of spatial structure of epidermal nerve entry point patterns based on replicated data
Second-order spatial analysis of epidermal nerve fibers
Some edge correction methods for marked spatio-temporal point process models
A third order point process characteristic for multi-type point processes
Modelling tree roots in mixed forest stands by inhomogeneous marked Gibbs point processes.
Anisotropy analysis of pressed point processes
Modeling the microstructure of sintered copper
Modelling growth of trees by space-time growth-interaction processe
The analysis of marked point patterns evolving through space and time
An additive edge correction for the influence potential of trees
Some space-time interaction models for marked point processes.
An additive edge correction based on the refined Campbell theorem
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Showing 5 research projects
Extracting information from complicated point patterns
CoSiMa - concept for industrial development for the sustainable soft materials of the future
Material structures seen through microscopes and statistics
Spatial statistical methods for detecting small fiber neuropathies
Stochastics for big data and big systems - bridging local and global