My current research focus is on Bayesian methods for investigating spillover effects, modelling connectivity, and the uncertainty around that. I am also interested in the drivers of deforestation and development issues.
- Kuschnig, N. and Vashold, L. (2021). BVAR: Bayesian vector autoregressions with hierarchical prior selection in R. Journal of Statistical Software, 100(14):1–27, DOI: 10.18637/jss.v100.i14.
- Kuschnig, N., Crespo Cuaresma, J., Krisztin, T., and Giljum, S. (2021). Spillover effects in agriculture drive deforestation in Mato Grosso, Brazil. Scientific Reports, 11(1):1–9, DOI: 10.1038/s41598-021-00861-y.
- Kuschnig, N. (2021). Inadequate methods undermine a study of malaria, deforestation and trade. Nature Communications, 12(1):1–3, DOI: 10.1038/s41467-021-22514-4.
- Bruckner, M., Wood, R., Moran, D., Kuschnig, N., Wieland, H., Maus, V., and Börner, J. (2019). FABIO — the construction of the food and agriculture biomass input-output model. Environmental Science & Technology, 53(19):11302–11312, DOI: 10.1021/acs.est.9b03554.