Aila Särkkä

Professor at Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

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.

Source: chalmers.se

Projects

2013–2018

Stochastics for big data and big systems - bridging local and global

Holger Rootzen Applied Mathematics and Statistics
Bernt Wennberg Mathematical Sciences
Rebecka Jörnsten Applied Mathematics and Statistics
Igor Rychlik Applied Mathematics and Statistics
Sergey Zuev Applied Mathematics and Statistics
Johan Jonasson Analysis and Probability Theory
Johan Wästlund Analysis and Probability Theory
Jeffrey Steif Analysis and Probability Theory
Olle Häggström Applied Mathematics and Statistics
Robert Berman Algebra and geometry
Aila Särkkä Applied Mathematics and Statistics
Knut and Alice Wallenberg Foundation

2014–2019

Material structures seen through microscopes and statistics

Aila Särkkä Applied Mathematics and Statistics
Charlotte Hamngren Blomqvist Eva Olsson Group
Mats Rudemo Applied Mathematics and Statistics
Cecilia Fager Eva Olsson Group
Sandra Eriksson Barman Applied Mathematics and Statistics
Eva Olsson Eva Olsson Group
Holger Rootzen Applied Mathematics and Statistics
David Bolin Applied Mathematics and Statistics
Marco Longfils Applied Mathematics and Statistics
Niklas Lorén Eva Olsson Group
Swedish Foundation for Strategic Research (SSF)

2014–2017

Spatial statistical methods for detecting small fiber neuropathies

Aila Särkkä Applied Mathematics and Statistics
Claes Andersson Applied Mathematics and Statistics
Swedish Research Council (VR)

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Publications

2016

From static micrographs to particle aggregation dynamics in three dimensions

Henrike Häbel, Aila Särkkä, Mats Rudemo et al
Journal of Microscopy. Vol. 262 (1), p. 102-111
Journal article
2016

Variational Bayes approach for classification of points in superpositions of point processes

Tuomas Rajala, Claudia Redenbach, Aila Särkkä et al
Spatial Statistics. Vol. 15, p. 85-99
Journal article
2016

Point Processes, Spatial

Aila Särkkä
Wiley StatsRef: Statistics Reference Online, p. 6-
Chapter in monograph, book - peer reviewed
2016

Estimating geometric anisotropy in spatial point patterns

Tuomas Rajala, Aila Särkkä, Claudia Redenbach et al
Spatial Statistics. Vol. 15, p. 100-114
Journal article
2016

Characterization of pore structure of polymer blended films used for controlled drug release

Henrike Häbel, Helene Andersson, Anna Olsson et al
Journal of Controlled Release. Vol. 222, p. 151-158
Journal article
2016

Single particle raster image analysis of diffusion

Marco Longfils, Erich Schuster, Niklas Lorén et al
Journal of Microscopy. Vol. 266 (1), p. 3-14
Journal article
2016

Discovering early diabetic neuropathy from epidermal nerve fiber patterns

Claes Andersson, P. Guttorp, Aila Särkkä
Statistics in Medicine. Vol. 35 (24), p. 4427-4442
Journal article
2016

What we look at in paintings: a Comparsion between Experienced and Inexperienced Art Viewers

A. K. Ylitalo, Aila Särkkä, P. Guttorp
Annals of Applied Statistics. Vol. 10 (2), p. 549-574
Journal article
2015

Classification of Points in Superpositions of Strauss and Poisson Processes

Claudia Redenbach, Aila Särkkä, Aila Särkkä
Spatial Statistics. Vol. 12, p. 81-95
Journal article
2015

Statistical Prediction of Global Sea Level From Global Temperature

David Bolin, P. Guttorp, A. Januzzi et al
Statistica Sinica. Vol. 25 (1), p. 351-367
Journal article
2014

Identifying directional persistence in intracellular particle motion using Hidden Markov Models

Magnus Röding, M. Guo, David A. Weitz et al
Mathematical Biosciences. Vol. 248 (1), p. 140-145
Journal article
2014

Assessing the Uncertainty in Projecting Local Mean Sea Level from Global Temperature

P. Guttorp, A. Januzzi, M. Novak et al
Journal of Applied Meteorology and Climatology. Vol. 53 (9), p. 2163-2170
Journal article
2014

Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates

Mari Myllymäki, Aila Särkkä, Aki Vehtari
Spatial Statistics. Vol. 8 (C), p. 104-121
Journal article
2013

What mark variograms tell about spatial plant interactions

A. Pommerening, Aila Särkkä
Ecological Modelling. Vol. 251, p. 64-72
Journal article
2013

Parameter estimation for growth interaction processes using spatio-temporal information

Claudia Redenbach, Aila Särkkä
Computational Statistics and Data Analysis. Vol. 57 (1), p. 672-683
Journal article
2013

Self-calibrated concentration measurements of polydisperse nanoparticles

Magnus Röding, Hendrik Deschout, Kevin Braeckmans et al
Journal of Microscopy. Vol. 252 (1), p. 79-88
Journal article
2013

Automatic Particle Detection in Microscopy Using Temporal Correlations

Magnus Röding, Hendrik Deschout, Thomas Martens et al
Microscopy Research and Technique. Vol. 76 (10), p. 997-1006
Journal article
2013

Development and evaluation of spatial point process models for epidermal nerve fibers

Viktor Olsbo, Mari Myllymäki, L. A. Waller et al
Mathematical Biosciences. Vol. 243 (2), p. 178-189
Journal article
2012

The gamma distribution model for pulsed-field gradient NMR studies of molecular-weight distributions of polymers

Magnus Röding, Diana Bernin, Jenny Jonasson et al
Journal of Magnetic Resonance. Vol. 222, p. 105-111
Journal article
2012

Analysis of spatial structure of epidermal nerve entry point patterns based on replicated data

Mari Myllymäki, I. G. Panoutsopoulou, Aila Särkkä
Journal of Microscopy. Vol. 247 (3), p. 228-239
Journal article
2011

Some edge correction methods for marked spatio-temporal point process models

Ottmar Cronie, Aila Särkkä
Computational Statistics and Data Analysis. Vol. 55 (7), p. 2209-2220
Journal article
2011

Modelling the spatial and space-time structure of forest stands: How to model asymmetric interaction between neighbouring trees

P. Grabarnik, Aila Särkkä
Procedia Environmental Sciences. 1st International Conference on Spatial Statistics 2011,Enschede,23-25 March 2011. Vol. 7, p. 62-67
Paper in proceedings
2011

Second-order spatial analysis of epidermal nerve fibers

L. A. Waller, Aila Särkkä, Viktor Olsbo et al
Statistics in Medicine. Vol. 30 (23), p. 2827-2841
Journal article
2010

A third order point process characteristic for multi-type point processes

Carles Comas, Jorge Mateu, Aila Särkkä
Statistica Neerlandica. Vol. 64 (1), p. 19-44
Journal article
2009

Modelling tree roots in mixed forest stands by inhomogeneous marked Gibbs point processes.

Stefanie Eckel, Frank Fleischer, Pavel Grabarnik et al
Biometrical Journal. Vol. 51, p. 522-539
Journal article
2009

Modelling the spatial structure of forest stands by multivariate point processes with hierarchical interactions

Pavel Grabarnik, Aila Särkkä
Ecological Modelling. Vol. 220, p. 1232-1240
Journal article
2009

Anisotropy analysis of pressed point processes

Claudia Redenbach, Aila Särkkä, Katja Schladitz et al
Advances in Statistical Analysis. Vol. 93 (3), p. 237-261
Journal article
2007

Discussion article in the discussion of the paper Modern Statistics for Spatial Point Processes by Moller and Waagepettersen

Pavel Grabarnik, Aila Särkkä
Scandinavian Journal of Statistics. Vol. 34 (4), p. 643-711
Magazine article
2006

Modeling the microstructure of sintered copper

Claudia Lautensack, Katja Schladitz, Aila Särkkä
Paper in proceedings
2006

Modelling growth of trees by space-time growth-interaction processe

Aila Särkkä
Conference contribution
2006

The analysis of marked point patterns evolving through space and time

Aila Särkkä, Eric Renshaw
Computational Statistics & Data Analysis. Vol. 51, p. 1698-1718
Journal article
2005

An additive edge correction for the influence potential of trees

Sharon Kühlmann-Berenzon, J Heikkinen, Aila Särkkä
Biometrical Journal. Vol. 47 (4), p. 517-526
Journal article
2005

Discussion article on the paper Residual analysis for spatial point processes by A. Baddeley, R. Turner, J. Moller and M. Hazelton

Dietrich Stoyan, Aila Särkkä
Journal of the Royal Statistical Society B. Vol. 67 (5), p. 617-666
Magazine article
2004

Some space-time interaction models for marked point processes.

Aila Särkkä, Eric Renshaw
Conference contribution
2003

An additive edge correction based on the refined Campbell theorem

Sharon Kühlmann-Berenzon, Juha Heikkinen, Aila Särkkä
Preprint