Dr Levi Wolf

Research summary

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Biography

Levi works on methods in statistics, data science, and machine learning for the analysis of social processes. In the past, he has worked on detecting gerrymandering, neighborhood dynamics, local models, bayesian computation… a whole gamut of spatial data science topics. In future, his research agenda contains two main parts:

• How can we integrate spatial reasoning into data science techniques? Should we? This either looks like improving traditional spatial data science/statistical techniques that use augmented spatial information, or involves the development of entirely new spatial statistical models & data science methods.
• How does our environment (human or physical) affect ...

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Links

• github

Recent publications

• Dong, G, Wolf, L, Alexiou, A & Arribas-Bel, D, 2019, ‘Inferring neighbourhood quality with property transaction records by using a locally adaptive spatial multi-level model’. Computers, Environment and Urban Systems, vol 73., pp. 118-125
• Rey, SJ, Kang, W & Wolf, LJ, 2019, ‘Regional inequality dynamics, stochastic dominance, and spatial dependence’. Papers in Regional Science, vol 98., pp. 861-881

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View complete publications list in the University of Bristol publications system