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Håkon Otneim
(Haakon Otneim)

Personal Details

First Name:Haakon
Middle Name:
Last Name:Otneim
Suffix:
RePEc Short-ID:pot59
[This author has chosen not to make the email address public]

Affiliation

Institutt for foretaksøkonomi
Norges Handelshøyskole (NHH)

Bergen, Norway
http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspx
RePEc:edi:dfnhhno (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Juranek, Steffen & Otneim, Håkon, 2021. "Using machine learning to predict patent lawsuits," Discussion Papers 2021/6, Norwegian School of Economics, Department of Business and Management Science.
  2. Otneim, Håkon & Tjøstheim, Dag, 2016. "Non-parametric estimation of conditional densities: A new method," Discussion Papers 2016/22, Norwegian School of Economics, Department of Business and Management Science.

Articles

  1. Otneim, Håkon & Karlsen, Hans Arnfinn & Tjøstheim, Dag, 2013. "Bias and bandwidth for local likelihood density estimation," Statistics & Probability Letters, Elsevier, vol. 83(5), pages 1382-1387.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Otneim, Håkon & Karlsen, Hans Arnfinn & Tjøstheim, Dag, 2013. "Bias and bandwidth for local likelihood density estimation," Statistics & Probability Letters, Elsevier, vol. 83(5), pages 1382-1387.

    Cited by:

    1. Tata Subba Rao & Granville Tunnicliffe Wilson & Geir Drage Berentsen & Ricardo Cao & Mario Francisco-Fernández & Dag TjØstheim, 2017. "Some Properties of Local Gaussian Correlation and Other Nonlinear Dependence Measures," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 352-380, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2021-06-28. Author is listed
  2. NEP-CMP: Computational Economics (1) 2021-06-28. Author is listed
  3. NEP-ECM: Econometrics (1) 2016-12-18. Author is listed
  4. NEP-IAS: Insurance Economics (1) 2021-06-28. Author is listed
  5. NEP-IPR: Intellectual Property Rights (1) 2021-06-28. Author is listed
  6. NEP-LAW: Law & Economics (1) 2021-06-28. Author is listed
  7. NEP-ORE: Operations Research (1) 2016-12-18. Author is listed

Corrections

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