Information till studenter och medarbetare med anledning av covid-19 (Uppdaterad: 18 januari 2021)

English
Umeå universitet
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Johan Strandberg

Kontakt

E-post
johan.strandberg@umu.se
Telefon
090-786 71 63

Verksam vid

Anknytning
Postdoktor vid Handelshögskolan vid Umeå universitet Enhet: Statistik
Plats
Samhällsvetarhuset, Biblioteksgränd 6 Umeå universitet, 901 87 Umeå
Anknytning
Anknuten som övrig/annan befattning till Institutionen för matematik och matematisk statistik
Plats
MIT-huset, plan 3, Matematik och matematisk statistik, F332 Umeå universitet, 901 87 Umeå
2020
Non-parametric methods for functional data
Research report in mathematical statistics, 72/20
Strandberg, Johan
2019
Multiresolution clustering of dependent functional data with application to climate reconstruction
Stat, John Wiley & Sons 2019, Vol. 8, (1)
Abramowicz, Konrad; Schelin, Lina; Sjöstedt de Luna, Sara; et al.
2019
Prediction of spatial functional random processes: comparing functional and spatio-temporal kriging approaches
Stochastic environmental research and risk assessment (Print), Springer 2019, Vol. 33, (10) : 1699-1719
Strandberg, Johan; Sjöstedt de Luna, Sara; Mateu, Jorge
2015
One-leg hop kinematics 20years following anterior cruciate ligament rupture: Data revisited using functional data analysis
Clinical Biomechanics, Vol. 30, (10) : 1153-1161
Hébert-Losier, Kim; Pini, Alessia; Vantini, Simone; et al.
2014
An inferential framework for domain selection in functional anova
Contributions in infinite-dimensional statistics and related topics
Abramowicz, Konrad; Häger, Charlotte; Hérbert-Losier, Kim; et al.
Nonparametric clustering methods to identify latent structures from a sequence of dependent categorical data
Abramowicz, Konrad; Sjöstedt de Luna, Sara; Strandberg, Johan
Analysis choices provide contrasting conclusions when evaluating jump performance: A multi-aspect inferential method applied to kinematics curves from the one-leg vertical hop in knee-injured and asymptomatic persons
Strandberg, Johan; Pini, Alessia; Häger, Charlotte; et al.
Visa publikationer i DiVA