Jonas Moss

Associate Professor

Oslo, Norway
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Summary

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Senior
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Top School
Jonas Moss is an associate professor of statistics based in Oslo with nine years of academic and applied research experience bridging rigorous statistical methodology and real-world problems. He holds a PhD and MSc from the University of Oslo and has progressed from PhD student to assistant professor and now associate professor at Handelshøyskolen BI, with prior research experience at Norges Bank Investment Management. Jonas teaches a broad range of statistics courses and has a track record of high academic performance (straight A’s in his MSc) combined with practical exposure to finance research. He focuses on developing and applying statistical methods that solve important applied problems, bringing a balance of pedagogical clarity and research depth. A less obvious strength is his consistent movement between theory and practice, which helps translate complex models into actionable insights for policy and industry.
code9 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Universitetet i Oslo (UiO)
languagesNorwegian, English
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Github Skills (30)

r-package10
kernel-density10
linear-models10
density-estimation10
asymmetric10
meta9
missing-data9
meta-analysis9
structural-equation-modeling9
open-access8
parametric8
bayesian8
psychometrics8
statistics8
kernel8

Programming languages (3)

RC++HTML

Github contributions (5)

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JonasMoss/publipha

May 2019 - Mar 2022

An R package for Bayesian meta-analysis models under publication bias and p-hacking
Contributions:3 releases, 139 commits, 2 PRs in 2 years 9 months
r-packagemetarstatsmeta-analysisbias
JonasMoss/conogive

Mar 2020 - Aug 2022

An R package for the congeneric ogive model.
Contributions:2 releases, 2 PRs, 20 pushes in 2 years 6 months
r-packagerstats
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Jonas Moss - Associate Professor