arofi
Department of Finance
- Center for Statistics
Anders
Rønn-Nielsen
Lektor
Kontor:
SOL/A4.26
Tel:
+4538153738
E-mail:
aro.fi@cbs.dk
511041
Præsentation
Anders Rønn-Nielsen holds a M.Sc. in Statistics from University of Copenhagen and a PhD in Statistics and Probability Theory from Aarhus University. His research interests are divided between applied probability, in particular Lévy based spatial models, and statistical methods in efficiency analysis.
Primære forskningsområder
- Applied probability theory
- Lévy based modelling
- Statistical methods in efficiency analysis
Administrative opgaver
Curriculum Vitae
Link til denne hjemmeside
www.cbs.dk/staff/arofi
Kurser
- Sandsynlighedsteori, Ha(mat)
- Statistik og sandsynlighedsregning Ha(fil)
Vejledning
Masters and Bachelor theses with a high content of probability theory and/or statistics
Andre undervisningsaktiviteter
Udvalgte publikationer
Publikationer sorteret efter:
2023
Anders Rønn-Nielsen; Mads Stehr / Extremal Clustering and Cluster Counting for Spatial Random Fields
I: Bernoulli, Vol. 29, Nr. 4, 11.2023, s. 2771-2796
I: Bernoulli, Vol. 29, Nr. 4, 11.2023, s. 2771-2796
Tidsskriftartikel > peer review
2022
Anders Rønn-Nielsen; Mads Stehr / Extremes of Lévy-driven Spatial Random Fields with Regularly Varying Lévy Measure
I: Stochastic Processes and Their Applications, Vol. 150, 8.2022, s. 19-49
I: Stochastic Processes and Their Applications, Vol. 150, 8.2022, s. 19-49
Tidsskriftartikel > peer review
Mads Stehr; Anders Rønn-Nielsen / Extremes of Subexponential Lévy-driven Random Fields in the Gumbel Domain of Attraction
I: Extremes, Vol. 25, Nr. 1, 3.2022, s. 79–105
I: Extremes, Vol. 25, Nr. 1, 3.2022, s. 79–105
Tidsskriftartikel > peer review
Anders Rønn-Nielsen; Dorte Kronborg; Mette Asmild / Permutation Tests on Returns to Scale and Common Production Frontiers in Nonparametric Models
København : Københavns Universitet 2022, 36 s. (IFRO Working Paper, Vol. 2022 / 05)
København : Københavns Universitet 2022, 36 s. (IFRO Working Paper, Vol. 2022 / 05)
Working paper
2021
Mette Asmild; Dorte Kronborg; Anders Rønn-Nielsen / Applying Statistical Methods to Compare Frontiers : Are Organic Dairy Farms Better Than the Conventional?.
I: Advances in Efficiency and Productivity Analysis. NAPW 2018. red. /Christopher F. Parmeter; Robin C. Sickles. Cham : Springer 2021, s. 335-348 (Springer Proceedings in Business and Economics)
I: Advances in Efficiency and Productivity Analysis. NAPW 2018. red. /Christopher F. Parmeter; Robin C. Sickles. Cham : Springer 2021, s. 335-348 (Springer Proceedings in Business and Economics)
Konferencebidrag i proceedings > peer review
Mads Stehr; Anders Rønn-Nielsen / Extreme Value Theory for Spatial Random Fields – With Application to a Lévy-Driven Field
I: Extremes, Vol. 24, Nr. 4, 12.2021, s. 753–795
I: Extremes, Vol. 24, Nr. 4, 12.2021, s. 753–795
Tidsskriftartikel > peer review
Mads Stehr; Anders Rønn-Nielsen / Tail Asymptotics of an Infinitely Divisible Space-time Model with Convolution Equivalent Lévy Measure
I: Journal of Applied Probability, Vol. 58, Nr. 1, 3.2021, s. 42-67
I: Journal of Applied Probability, Vol. 58, Nr. 1, 3.2021, s. 42-67
Tidsskriftartikel > peer review
2019
Anders Rønn-Nielsen; Eva B. Vedel Jensen / Central Limit Theorem for Mean and Variogram Estimators in Lévy–based Models
I: Journal of Applied Probability, Vol. 56, Nr. 1, 3.2019, s. 209–222
I: Journal of Applied Probability, Vol. 56, Nr. 1, 3.2019, s. 209–222
Tidsskriftartikel > peer review
Mette Asmild; Arne Henningsen; Dorte Kronborg; Anders Rønn-Nielsen / Comment on: "Testing Hypotheses in Nonparametric Models of Production" by Kneip, Simar, and Wilson (2016, JBES)
København : Københavns Universitet 2019, 3 s. (IFRO Working Paper, Nr. 2019 / 07)
København : Københavns Universitet 2019, 3 s. (IFRO Working Paper, Nr. 2019 / 07)
Working paper
Anders Rønn-Nielsen; Dorte Kronborg; Mette Asmild / Exact Tests on Returns to Scale and Comparisons of Production Frontiers in Nonparametric Models
København : Københavns Universitet 2019, 23 s. (IFRO Working Paper, Nr. 2019/4)
København : Københavns Universitet 2019, 23 s. (IFRO Working Paper, Nr. 2019/4)
Working paper
2019
Mads Stehr; Anders Rønn-Nielsen / Tail Asymptotics of an Infinitely Divisible Space-Time Model with Convolution Equivalent Lévy Measure
Aarhus : Centre for Stochastic Geometry and Advanced Bioimaging (CSGB), Aarhus University 2019, 34 s. (CSGB Research Reports, Nr. 9)
Aarhus : Centre for Stochastic Geometry and Advanced Bioimaging (CSGB), Aarhus University 2019, 34 s. (CSGB Research Reports, Nr. 9)
Working paper
2018
Anders Rønn-Nielsen; Eva B. Vedel Jensen / Central Limit Theorem for Mean and Variogram Estimators in Lévy–based Models
Aarhus : Centre for Stochastic Geometry and Advanced Bioimaging (CSGB), Aarhus University 2018, 16 s. (CSGB Research Reports, Nr. 06)
Aarhus : Centre for Stochastic Geometry and Advanced Bioimaging (CSGB), Aarhus University 2018, 16 s. (CSGB Research Reports, Nr. 06)
Working paper
Mette Asmild; Dorte Kronborg; Anders Rønn-Nielsen / Testing Productivity Change, Frontier Shift, and Efficiency Change
Frederiksberg : Københavns Universitet 2018, 23 s. (IFRO Working Paper, Nr. 2018/7)
Frederiksberg : Københavns Universitet 2018, 23 s. (IFRO Working Paper, Nr. 2018/7)
Working paper
2017
Anders Rønn-Nielsen; Jon Sporring; Eva B.Vedel Jensen / Estimation of Sample Spacing in Stochastic Processes
I: Image Analysis and Stereology, Vol. 36, Nr. 1, 2017, s. 43-49
I: Image Analysis and Stereology, Vol. 36, Nr. 1, 2017, s. 43-49
Tidsskriftartikel > peer review
Anders Rønn-Nielsen; Eva B. Vedel Jensen / Excursion Sets of Infinitely Divisble Random Fields with Convolution Equivalent Lévy Measure
I: Journal of Applied Probability, Vol. 54, Nr. 3, 2017, s. 833-851
I: Journal of Applied Probability, Vol. 54, Nr. 3, 2017, s. 833-851
Tidsskriftartikel > peer review
Søren Asmussen; Jevgenijs Ivanovs; Anders Rønn Nielsen / Time Inhomogeneity in Longest Gap and Longest Run Problems
I: Stochastic Processes and Their Applications, Vol. 127, Nr. 2, 2.2017, s. 574-589
I: Stochastic Processes and Their Applications, Vol. 127, Nr. 2, 2.2017, s. 574-589
Tidsskriftartikel > peer review
2016
Anders Rønn-Nielsen; Eva B. Vedel Jensen / Tail Asymptotics for the Supremum of an Infinitely Divisible Field with Convolution Equivalent Lévy Measure
I: Journal of Applied Probability, Vol. 53, Nr. 1, 2016, s. 244–261
I: Journal of Applied Probability, Vol. 53, Nr. 1, 2016, s. 244–261
Tidsskriftartikel > peer review
2013
Kristjana Ýr Jónsdóttir; Anders Rønn-Nielsen; Kim Mouridsen; Eva B. Vedel Jensen / Lévy-based Modelling in Brain Imaging
I: Scandinavian Journal of Statistics, Vol. 40, Nr. 3, 2013, s. 511-529
I: Scandinavian Journal of Statistics, Vol. 40, Nr. 3, 2013, s. 511-529
Tidsskriftartikel > peer review
Flere resultater ...(i alt 18 )
2021
Johan Gersel; Anders Rønn-Nielsen / Noter om logik og sandsynlighedsregning
Frederiksberg : Copenhagen Business School, CBS 2021, 54 s.
Frederiksberg : Copenhagen Business School, CBS 2021, 54 s.
Kompendium/lecture notes
Anders Rønn-Nielsen / Opgavesamling sandsynlighedsteori
Frederiksberg : Copenhagen Business School, CBS 2021, 59 s.
Frederiksberg : Copenhagen Business School, CBS 2021, 59 s.
Kompendium/lecture notes
2018
Bo Markussen; Anders Rønn-Nielsen / Lineær Regression A-niveau
København : EMU 2018, 56 s.
København : EMU 2018, 56 s.
Kompendium/lecture notes
Bo Markussen; Anders Rønn-Nielsen / Lineær Regression B-niveau
København : EMU 2018, 22 s.
København : EMU 2018, 22 s.
Kompendium/lecture notes
2024
Prognose von Aktienrenditen: Global vs. Lokal
30/01/2024 // Absolut Report
2023
Snapshots: CBS staff busy preparing for a new semester
31/08/2023 // Cbswire.dk // Emilie Jacobsen
Faglige interesser
Bibeskæftigelse
- Production of teaching materials for Gymnasieskolernes Lærerforening, December 2017
- External examiner at Aarhus University (master’s), June 2018
- External examiner at Aarhus University (master’s), August 2018
- External examiner at Copenhagen University (master’s), May 2019
- Københavns Universitet: Censorarbejde (speciale)
- Aarhus Universitet: Censorarbejde (PhD delA-eksamen)
- Aarhus Universitet: PhD-bedømmelse