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NOVA PhD Course Hybrid Inference - Open for Applications

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    Shutterstock, Mila Supinskaya

The course will take place on 27-31 May 2019, in Ås, Norway.
Deadline for applications: 5 Feb. 2019.

NOVA course information web page

Apply here

NB! Studentweb will open for applications from NMBU students by the middle of January 2019.

The course is of 5 ECTS, and is organised by Prof. Terje Gobakken, Norwegian University of Life Sciences.

Course Description
In sample surveys, there are two main inferential approaches: the design-based and model-based. The probability sampling theory is part of the former, regression analysis and econometrics provide estimators within the latter inferential mode. Hybrid inference was developed by Nordic scientists to satisfy needs in surveys of natural resources in which auxiliary data from remote sensing play an important role. The new hybrid inference combines properties of the design- and model-based approaches and accounts for uncertainties due to both design and model. The course will provide a general and practical view, as well as a deeper scientific understanding of the new hybrid inferential approach.

Content
The course will focus on the hybrid inferential approach for surveying discrete and continuous natural populations in the presence of auxiliary data. It includes elements from sampling survey theory, such as general sampling concept for discrete and continuous populations, sampling with fixed area plots, relascope sampling, stratified sampling and cluster sampling; as well as elements from regression analysis, such as ordinary least squares regression, generalized least squares regression and maximum likelihood estimators.

Programme Outline

  • May 5-25: pre-campus assignment
  • May 26: arriving in Ås
  • Week May 27-31:
    • Monday:
      • Course introduction
      • Design-based inference
      Tuesday:
      • Two-stage sampling
      Wednesday:
      • Model-based inference
      Thursday:
      • Generalized least squares (GLS) regression estimator
      • Maximum likelihood (ML) and restricted ML (REML) estimator
      Friday:
      • Hybrid inference
  • June 2 – 14: Home exam

Main teacher:

  • PhD Svetlana Saarela
    Associate Senior Lecturer
    Division of Forest Resource Analysis, Department of Forest Resource Management, Swedish University of Agricultural Sciences, Sweden.

Other teachers:

  • PhD Mark J. Ducey
    Professor of Forest Biometrics and Management, Senior Fellow, The Carsey School of Public Policy, University of New Hampshire, USA.
  • PhD Erik Næsset
    Professor
    Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Norway.
  • PhD Terje Gobakken
    Professor
    Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Norway.

 

Please find more information on the course and on how to apply here: https://www.nmbu.no/en/students/nova/students/phd-courses/phd-courses-2019/node/36241

Published 14. December 2018 - 17:09 - Updated 14. December 2018 - 17:09