Sara Taskinen

Associate professor

Unit

Faculty of Mathematics and Science

Department / Division

Department of Mathematics and Statistics

Room number

MaD 328

sara.l.taskinen@jyu.fi

Mobile

+358408053466

Postal address

Ahlmaninkatu 2

Fields of science

112 Statistics and probability

Research interests

I develop new, efficient statistical methods which can be used when analysing very high-dimensional and complex multivariate data. The developed methods can be applied e.g. in ecology and signal processing.

Publications

Publication

2026

Effect of smoking and smoking cessation intervention on postoperative complications of orthopedic and hand surgery: A single-center interventional study

Tobacco Prevention and Cessation.

Kyrö, Antti

Kainiemi, Kalle

Malmivaara, Antti

Taskinen, Sara

Laatikainen, Tiina

Publication

2026

Independent vector analysis : an introduction for statisticians

Statistics surveys.

Arvila, Miro

Nordhausen, Klaus

Sipilä, Mika

Taskinen, Sara

Publication

2025

Comparing model-based unconstrained ordination methods in the analysis of high-dimensional compositional count data

Journal of Data Science, Statistics, and Visualisation.

Tang, W.

Korhonen, P.

Niku, J.

Nordhausen, K.

Taskinen, S.

Publication

2025

Exploring Students' Misinterpretations of Linear Regression Models

FMSERA Journal.

Kauppinen, Heli

Taskinen, Sara

Hähkiöniemi, Markus

Publication

2025

Formation of legitimacy in sport in local decision-making : explaining local politicians’ and administrators’ perceived justification of sport in Finnish municipalities

International Journal of Sport Policy and Politics.

Lee, Anna

Sara, Taskinen

Hanna, Vehmas

Kimmo, Suomi

Publication

2025

gllvm 2.0 : Fast Fitting of Advanced Ordination Methods and Joint Species Distribution Models

PeerJ.

Korhonen, Pekka

Hui, Francis K.C.

Niku, Jenni

Taskinen, Sara

van der Veen, Bert

Publication

2025

Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation

Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science. Springer Nature Switzerland.

Sipilä, Mika

Nordhausen, Klaus

Taskinen, Sara

Publication

2025

Independent Component Analysis

International Encyclopedia of Statistical Science. Springer Berlin Heidelberg.

Nordhausen, Klaus

Taskinen, Sara

Publication

2025

Modelling multivariate spatio-temporal data with identifiable variational autoencoders

Neural Networks.

Sipilä, Mika

Cappello, Claudia

De Iaco, Sandra

Nordhausen, Klaus

Taskinen, Sara

Publication

2024

A comparison of joint species distribution models for percent cover data

Methods in Ecology and Evolution.

Korhonen, Pekka

Hui, Francis K. C.

Niku, Jenni

Taskinen, Sara

van der Veen, Bert

Sara Taskinen

Research interests

Publications

Effect of smoking and smoking cessation intervention on postoperative complications of orthopedic and hand surgery: A single-center interventional study

Independent vector analysis : an introduction for statisticians

Comparing model-based unconstrained ordination methods in the analysis of high-dimensional compositional count data

Exploring Students' Misinterpretations of Linear Regression Models

Formation of legitimacy in sport in local decision-making : explaining local politicians’ and administrators’ perceived justification of sport in Finnish municipalities

gllvm 2.0 : Fast Fitting of Advanced Ordination Methods and Joint Species Distribution Models

Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation

Independent Component Analysis

Modelling multivariate spatio-temporal data with identifiable variational autoencoders

A comparison of joint species distribution models for percent cover data

Multivariate statistics

Statistics in ecology: Latent variable models for complex data structures