STIAS logo Stellenbosch Institute for Advanced Study

Publication

Pandemic programming: How COVID-19 affects software developers and how their organizations can help

Ralph, Paul, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard and Rana Alkadhi. 2020. Pandemic programming. Empirical Software Engineering. https://doi.org/10.1007/s10664-020-09875-yb

Related to Pandemic programming: How COVID-19 affects software developers and how their organizations can help

The theoretical alignment of Bayesian statistics and cumulative prospect theory

Project

The theoretical alignment of Bayesian statistics and cumulative prospect theory

The focus of this research is combining Bayesian statistics, in particular Bayesian data analysis, with utility theory.