Massimiliano Tamborrino
Scholar

Massimiliano Tamborrino

Google Scholar ID: Zrr-TugAAAAJ
Reader (Associate Professor), Department of Statistics, University of Warwick
Stochastic Modelling. Simulation/inference for stochastics processes. ABC. Parallel-in-time schemes
Citations & Impact
All-time
Citations
461
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Background
  • Research interests focus on stochastic processes (mainly diffusions) and point processes from modeling, numerical, probabilistic, and statistical perspectives
  • Particularly interested in the interface between numerics and statistics in simulation-based inference methods, applied primarily to neuroscience, physiology, cognitive psychology, and biology
  • Recently developed interest in parallel-in-time (PinT) numerical schemes
  • Works on statistical inference for fully or partially observed stochastic processes
  • Active researcher in Approximate Bayesian Computation (ABC)