Sara Taskinen

Apulaisprofessori (Associate Professor)

Yksikkö

Matemaattis-luonnontieteellinen tiedekunta

Laitos / Vastuualue

Matematiikan ja tilastotieteen laitos

Huonenumero

MaD 328

Sähköposti

sara.l.taskinen@jyu.fi

Matkapuhelin

+358408053466

Postiosoite

Ahlmaninkatu 2

Tieteenalat

112 Tilastotiede

Tutkimuskuvaus

Tutkin ja kehitän tilastotieteen menetelmiä, joiden avulla erilaisia moniulotteisia ja kompleksisia aineistoja voidaan analysoida tehokkaammin. Menetelmiä voidaan soveltaa vaikkapa ekologian ja aivokuvantamisen aineistoihin.

Julkaisut

Julkaisu

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

Julkaisu

2026

Independent vector analysis : an introduction for statisticians

Statistics Surveys.

Arvila, Miro

Nordhausen, Klaus

Sipilä, Mika

Taskinen, Sara

Julkaisu

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.

Julkaisu

2025

Exploring Students' Misinterpretations of Linear Regression Models

FMSERA Journal.

Kauppinen, Heli

Taskinen, Sara

Hähkiöniemi, Markus

Julkaisu

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

Julkaisu

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

Julkaisu

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

Julkaisu

2025

Independent Component Analysis

International Encyclopedia of Statistical Science. Springer Berlin Heidelberg.

Nordhausen, Klaus

Taskinen, Sara

Julkaisu

2025

Modelling multivariate spatio-temporal data with identifiable variational autoencoders

Neural Networks.

Sipilä, Mika

Cappello, Claudia

De Iaco, Sandra

Nordhausen, Klaus

Taskinen, Sara

Julkaisu

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

Tutkimuskuvaus

Julkaisut

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

Monimuuttujamenetelmät

Tilastollinen ekologia: Latenttimuuttujamallit monimutkaisille datarakenteille