Claudia Di Caterina
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My research deals with statistical methods and theory.

I am particularly interested in:
Likelihood and pseudo-likelihood inference
Likelihood asymptotics
Anytime-valid inference
Statistical treatment of nuisance parameters
Bias reduction techniques


You can find an updated version of my CV here.
Papers:
  • Di Caterina, C., Reid, N. and Sartori, N. (2025). Directional tests in Gaussian graphical models. Statistica Sinica, 35, 361-387. DOI: 10.5705/ss.202022.0394.
  • Di Caterina, C. and D. Ferrari (2024). Model selection by pathwise marginal likelihood thresholding. Statistics & Probability Letters, 214, 110214. DOI: 10.1016/j.spl.2024.110214.
  • Roner, C., C. Di Caterina and D. Ferrari (2024). Exponential tilting for zero-inflated interval regression with applications to cyber security survey data. Journal of the Royal Statistical Society Series C: Applied Statistics, 73, 1065-1081. DOI: 10.1093/jrsssc/qlae026.
  • Huang, C., C. Di Caterina and N. Sartori (2022). Directional testing for high dimensional normal distributions. Electronic Journal of Statistics, 16, 6489-6511. DOI: 10.1214/22-EJS2089.
  • Di Caterina, C., G. Cortese and N. Sartori (2019). Monte Carlo modified profile likelihood in models for clustered data. Electronic Journal of Statistics 13, 432-464. DOI: 10.1214/19-EJS1532.
  • ​Di Caterina, C. and I. Kosmidis (2019). Location-adjusted Wald statistics for scalar parameters. Computational Statistics and Data Analysis 138, 126-142. DOI: 10.1016/j.csda.2019.04.004.
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  • Profile
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