Aila Särkkä

at

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 Department of Mathematical Sciences, Mathematical Statistics
Bernt Wennberg Department of Mathematical Sciences
Rebecka Jörnsten Department of Mathematical Sciences, Mathematical Statistics
Igor Rychlik Department of Mathematical Sciences, Mathematical Statistics
Sergey Zuev Department of Mathematical Sciences, Mathematical Statistics
Johan Jonasson Department of Mathematical Sciences, Mathematics
Johan Wästlund Department of Mathematical Sciences, Mathematics
Jeffrey Steif Department of Mathematical Sciences, Mathematics
Olle Häggström Department of Mathematical Sciences, Mathematical Statistics
Robert Berman Department of Mathematical Sciences, Mathematics
Aila Särkkä Department of Mathematical Sciences, Mathematical Statistics
Knut and Alice Wallenberg Foundation

2014–2019

Material structures seen through microscopes and statistics

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

2014–2017

Spatial statistical methods for detecting small fiber neuropathies

Aila Särkkä Department of Mathematical Sciences, Mathematical Statistics
Claes Andersson Department of Mathematical Sciences, Mathematical Statistics
Swedish Research Council (VR)

There might be more projects where Aila Särkkä participates, but you have to be logged in as a Chalmers employee to see them.

Publications

2016

Single particle raster image analysis of diffusion

M. Longfils, Erich Schuster, Niklas Lorén et al
Journal of Microscopy
Scientific journal article - peer reviewed
2016

Discovering early diabetic neuropathy from epidermal nerve fiber patterns

Claes Andersson, P. Guttorp, Aila Särkkä et al
Statistics in Medicine. Vol. 35 (24), p. 4427-4442
Scientific journal article - peer reviewed
2016

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

A. K. Ylitalo, Aila Särkkä, P. Guttorp et al
Annals of Applied Statistics. Vol. 10 (2), p. 549-574
Scientific journal article - peer reviewed
2016

Point Processes, Spatial

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

Estimating geometric anisotropy in spatial point patterns

Tuomas Rajala, Aila Särkkä, C. Redenbach et al
Spatial Statistics. Vol. 15, p. 100-114
Scientific journal article - peer reviewed
2016

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

Tuomas Rajala, C. Redenbach, Aila Särkkä et al
Spatial Statistics. Vol. 15, p. 85-99
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
2015

Classification of Points in Superpositions of Strauss and Poisson Processes

Claudia Redenbach, Martina Sormani, Aila Särkkä et al
Spatial Statistics. Vol. 12, p. 81-95
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
2014

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

Mari Myllymäki, Aila Särkkä, Aki Vehtari et al
Spatial Statistics. Vol. 8, p. 104-121
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
2014

Identifying directional persistence in intracellular particle motion using Hidden Markov Models

Magnus Röding, M. Guo, D. A. Weitz et al
Mathematical Biosciences. Vol. 248, p. 140-145
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
2013

Self-calibrated concentration measurements of polydisperse nanoparticles

Magnus Röding, H. Deschout, K. Braeckmans et al
Journal of Microscopy. Vol. 252 (1), p. 79-88
Scientific journal article - peer reviewed
2013

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

Viktor Olsbo, M. Myllymaki, L. A. Waller et al
Mathematical Biosciences. Vol. 243 (2), p. 178-189
Scientific journal article - peer reviewed
2013

What mark variograms tell about spatial plant interactions

A. Pommerening, Aila Särkkä,
Ecological Modelling. Vol. 251, p. 64-72
Scientific journal article - peer reviewed
2013

Parameter estimation for growth interaction processes using spatio-temporal information

C. Redenbach, Aila Särkkä,
Computational Statistics & Data Analysis. Vol. 57 (1), p. 672-683
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
2012

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

M. Myllymaki, I. G. Panoutsopoulou, Aila Särkkä et al
Journal of Microscopy. Vol. 247 (3), p. 228-239
Scientific journal article - peer reviewed
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
Conference paper - peer reviewed
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
Scientific journal article - peer reviewed
2011

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

Ottmar Cronie, Aila Särkkä,
Computational Statistics & Data Analysis. Vol. 55 (7), p. 2209-2220
Scientific journal article - peer reviewed
2010

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

Carles Comas, Jorge Mateu, Aila Särkkä et al
Statistica neerlandica. Vol. 64 (1), p. 19-44
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - peer reviewed
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
Scientific journal article - non peer reviewed
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
Scientific journal article - peer reviewed
2006

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

Aila Särkkä,
Proceedings of the International Workshop on Spatio-Temporal Modelling (METMA3), Pamplona, Spain
Conference paper - non peer reviewed
2006

Modeling the microstructure of sintered copper

Claudia Lautensack, Katja Schladitz, Aila Särkkä et al
Proceedings of the Stereology, Spatial Statistics and Stochastic Geometry 6th International Conference Prague, Czech Republic, 26-29 June 2006
Conference paper - peer reviewed
2005

An additive edge correction for the influence potential of trees

Sharon Kühlmann-Berenzon, J Heikkinen, Aila Särkkä et al
Biometrical Journal. Vol. 47 (4), p. 517-526
Scientific journal article - peer reviewed
2005

Modelling of a spatial structure of a forest stand by Gibbs point processes with hierarchical interactions

Pavel Grabarnik, Aila Särkkä,
The Proceedings of the 5th European Conference on Ecological Modelling, Pushchino, Russia
Conference paper - non peer reviewed
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
Scientific journal article - non peer reviewed
2004

Some space-time interaction models for marked point processes.

Aila Särkkä, Eric Renshaw,
The proceedings of Spatial point process modelling and its applications, Castellon, Spain
Conference paper - non peer reviewed
2003

An additive edge correction based on the refined Campbell theorem

Sharon Kühlmann-Berenzon, Juha Heikkinen, Aila Särkkä et al
Preprint