Publikationer

An empirical investigation of organizational readiness towards hospital autonomy

Iranian Journal of Public Health, Tehran University of Medical Sciences 2024, Vol. 53, (9) : 2130-2139

Alaei Kalajahi, Riaz; Ghorbani, Mohammad; Arab, Mohammad; et al.

fiberLD: Fiber Length Determination. R package version 0.1-8

Pya Arnqvist, Natalya; Sjöstedt de Luna, Sara; Abramowicz, Konrad

On some extensions of shape-constrained generalized additive modelling in R

Pya Arnqvist, Natalya

scam: Shape constrained additive models. R package version 1.2-15

Pya Arnqvist, Natalya

Domain selection and family-wise error rate for functional data: a unified framework

Biometrics, John Wiley & Sons 2023, Vol. 79, (2) : 1119-1132

Abramowicz, Konrad; Pini, Alessia; Schelin, Lina; et al.

Geometry on optimal problem

Shcherbak, Denys; Pya Arnqvist, Natalya

Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data

Computational Statistics & Data Analysis, Elsevier 2023, Vol. 177

Abramowicz, Konrad; Sjöstedt de Luna, Sara; Strandberg, Johan

Simultaneous inference for functional data in sports biomechanics: Comparing statistical parametric mapping with interval-wise testing

AStA Advances in Statistical Analysis, Springer 2023, Vol. 107 : 369-392

Pataky, Todd Colin; Abramowicz, Konrad; Liebl, Dominik; et al.

An electroencephalography-based approach to evaluate movement-related anxiety in physically active adults and following anterior cruciate ligament injury

Society for Neuroscience 2022 Meeting, San Diego, Carliforna, USA, November 12-16, 2022

Grinberg, Adam; Strong, Andrew; Strandberg, Johan; et al.

fdaMocca: Model-Based Clustering for Functional Data with Covariates. R package version 0.1-1

Pya Arnqvist, Natalya; Arnqvist, Per; Sjöstedt de Luna, Sara

fiberLD: Fiber Length Determination. R package version 0.1-7

Pya Arnqvist, Natalya; Sjöstedt de Luna, Sara; Abramowicz, Konrad

scam: Shape constrained additive models. R package version 1.2-13

Pya Arnqvist, Natalya

A comparison of spatiotemporal and functional kriging approaches

Geostatistical functional data analysis, John Wiley & Sons 2021 : 375-402

Strandberg, Johan; Sjöstedt de Luna, Sara; Mateu, Jorge

Analysis Choices Impact Movement Evaluation: A Multi-Aspect Inferential Method Applied to Kinematic Curves of Vertical Hops in Knee-Injured and Asymptomatic Persons

Frontiers in Bioengineering and Biotechnology, Frontiers Media S.A. 2021, Vol. 9

Strandberg, Johan; Pini, Alessia; Häger, Charlotte; et al.

Dynamic table-visiting behavior of birds at outdoor restaurants and cafés

Ethology, John Wiley & Sons 2021, Vol. 127, (7) : 505-516

Haemig, Paul D.; Sjöstedt de Luna, Sara; Blank, Henrick

Efficient surface finish defect detection using reduced rank spline smoothers and probabilistic classifiers

Econometrics and Statistics, Elsevier 2021, Vol. 18 : 89-105

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Lindahl, Eric; et al.

fdaMocca: Model-Based Clustering for Functional Data with Covariates. R package version 0.1-0

Pya Arnqvist, Natalya; Arnqvist, Per; Sjöstedt de Luna, Sara

Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data

Test (Madrid), Sociedad de Estadística e Investigación Operativa (Spanish Society of Statistics and Operations Research) 2021, Vol. 30, (3) : 529-568

Ghorbani, Mohammad; Cronie, Ottmar; Mateu, Jorge; et al.

nilde: Nonnegative Integer Solutions of Linear Diophantine Equations with Applications. R package version 1.1-4

Pya Arnqvist, Natalya; Voinod, Vassilly; Makarov, Rashid; et al.

Non-destructive methods for assessing tree fiber length distributions in standing trees

Sjöstedt de Luna, Sara; Abramowicz, Konrad; Pya Arnqvist, Natalya

scam: Shape constrained additive models. R package version 1.2-12

Pya Arnqvist, Natalya

Statistical learning of phase measuring deflectometry for defect detection and classification on specular cab body surfaces

Advances in signal processing: reviews. Volume 2, International Frequency Sensor Association Publishing 2021 : 309-342

Pya Arnqvist, Natalya; Lindahl, Eric; Yu, Jun

Testing the first-order separability hypothesis for spatio-temporal point patterns

Computational Statistics & Data Analysis, Elsevier 2021, Vol. 161

Ghorbani, Mohammad; Vafaei, Nafiseh; Dvořák, Jiří; et al.

Non-parametric methods for functional data

Research report in mathematical statistics, 72/20

Strandberg, Johan

scam: Shape constrained additive models. R package version 1.2-6

Pya Arnqvist, Natalya

A statistical learning approach for defect detection and classification on specular carbody surfaces

Winter Conference in Statistics 2019 - Machine Learning, March 10-14, 2019, Hemavan, Sweden

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Lindahl, Eric; et al.

Defect detection and classfiication: statistical learning approach - Part II

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

Effective degrees of freedom for surface finish defect detection and classification

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

Efficient surface finish defect detection using reduced rank spline smoothers

CRoNoS & MDA 2019

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

fiberLD: Fiber Length Determination. R package version 0.1-6

Pya Arnqvist, Natalya; Sjöstedt de Luna, Sara; Abramowicz, Konrad

Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data

20th Workshop on Stochastic Geometry, Stereology and Image Analysis 2–7 June, 2019, Sandbjerg Estate, Denmark: Abstract book : 13-13

Ghorbani, Mohammad; Cronie, Ottmar; Mateu, Jorge; et al.

Functional marked point processes: Unifying spatio-temporal frameworks and analysing spatially dependent functional data

Statistical Analysis for Space-Time Data: Pragramme and Abstract Book, Eurpean Courses in Advanced Statistics (ECAS) 2019 : 7-7

Cronie, Ottmar; Ghorbani, Mohammad; Yu, Jun; et al.

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.

nilde: Nonnegative Integer Solutions of Linear Diophantine Equations with Applications. R package version 1.1-3

Pya Arnqvist, Natalya; Voinov, Vassilly; Voinov, Yevgeniy

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

Automated surface finish defect detection using statistical learning approach

SweDS2018, Umeå University, Sweden, November 20-21, 2018

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

Defect detection and classification: statistical learning approach

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

Effects of bud-flushing strategies on tree growth

Tree Physiology, Oxford University Press 2018, Vol. 38, (9) : 1384-1393

Rani, Raffaele; Abramowicz, Konrad; Falster, Daniel S.; et al.

Investment in reproduction for 14 iteroparous perennials is large and associated with other life-history and functional traits

Journal of Ecology, John Wiley & Sons 2018, Vol. 106, (4) : 1338-1348

Wenk, Elizabeth Hedi; Abramowicz, Konrad; Westoby, Mark; et al.

Nonparametric inference for functional-on-scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament

Scandinavian Journal of Statistics, John Wiley & Sons 2018, Vol. 45, (4) : 1036-1061

Abramowicz, Konrad; Häger, Charlotte; Pini, Alessia; et al.

Polynomial in time nonnegative integer solutions of knapsacks and similar problems in R: P=NP?

Mathematical Journal, Vol. 18, (2) : 47-58

Voinov, Vassilly; Pya Arnqvist, Natalya; Voinov, Yevgeniy

Clustering misaligned dependent curves applied to varved lake sediment for climate reconstruction

Stochastic environmental research and risk assessment (Print), Springer 2017, Vol. 31, (1) : 71-85

Abramowizc, Konrad; Arnqvist, Per; Secchi, Piercesare; et al.

Fitting diameter distribution models to data from forest inventories with concentric plot design

Forest Systems, INIA 2017, Vol. 26, (2)

Nanos, Nikos; Sjöstedt de Luna, Sara

Functional clustering methods and marital fertility modelling

Umeå: Umeå universitet 2017

Arnqvist, Per

R-software for additive partitioning of positive integers

Mathematical Journal, Vol. 17, (1) : 69-76

Voinov, Vassilly; Pya Arnqvist, Natalya

A note on basis dimension selection in generalized additive modelling

Pya Arnqvist, Natalya; Wood, Simon

DieHard: Reliable Scheduling to Survive Correlated failures in Cloud Data Centers

2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)

Sedaghat, Mina; Wadbro, Eddie; Wilkes, John; et al.

Functional clustering of varved lake sediment to reconstruct past seasonal climate

Environmental and Ecological Statistics, Springer 2016, Vol. 23, (4) : 513-529

Arnqvist, Per; Bigler, Christian; Renberg, Ingemar; et al.

Method for accurate fiber length determination from increment cores for large-scale population analyses in Norway spruce

Holzforschung, Walter de Gruyter 2016, Vol. 70, (9) : 829-838

Chen, Zhi-Qiang; Abramowicz, Konrad; Raczkowski, Rafal; et al.

mvnTest: Goodness of Fit Tests for Multivariate Normality. R package version 1.1-0

Pya Arnqvist, Natalya; Voinov, Vassilly; Makarov, Rashid; et al.

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Senast uppdaterad: 2022-04-08