Kalogeropoulos, Konstantinos

Number of items: 13.
Statistics
  • Bouranis, Lampros, Demiris, Nikolaos, Kalogeropoulos, Konstantinos, Ntzoufras, Ioannis (2025). Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19. Journal of the Royal Statistical Society. Series A: Statistics in Society, https://doi.org/10.1093/jrsssa/qnaf130
  • Chatzilena, Anastasia, Demiris, Nikolas, Kalogeropoulos, Konstantinos (2024). A modeling framework for the analysis of the SARS-CoV2 transmission dynamics. Statistics in Medicine, 43(23), 4542 - 4558. https://doi.org/10.1002/sim.10195 picture_as_pdf
  • Dubiel-Teleszynski, Tomasz, Kalogeropoulos, Konstantinos, Karouzakis, Nikolaos (2024). Sequential learning and economic benefits from dynamic term structure models. Management Science, 70(4), 2236 - 2254. https://doi.org/10.1287/mnsc.2023.4801 picture_as_pdf
  • Vamvourellis, Konstantinos, Kalogeropoulos, Konstantinos, Moustaki, Irini (2023). Assessment of generalised Bayesian structural equation models for continuous and binary data. British Journal of Mathematical and Statistical Psychology, 76(3), 559 - 584. https://doi.org/10.1111/bmsp.12314 picture_as_pdf
  • Malesios, C, Demiris, N, Kalogeropoulos, K, Ntzoufras, I (2017). Bayesian epidemic models for spatially aggregated count data. Statistics in Medicine, 36(20), 3216-3230. https://doi.org/10.1002/sim.7364
  • Dureau, J., Kalogeropoulos, K., Vickerman, P., Pickles, M., Boily, M. C. (2016). A Bayesian approach to estimate changes in condom use from limited human immunodeficiency virus prevalence data. Journal of the Royal Statistical Society. Series C: Applied Statistics, 65(2), 237 - 257. https://doi.org/10.1111/rssc.12116
  • Beskos, A., Dureau, J., Kalogeropoulos, K. (2015). Bayesian inference for partially observed stochastic differential equations driven by fractional Brownian motion. Biometrika, 102(4), 809-827. https://doi.org/10.1093/biomet/asv051
  • Dureau, Joseph, Kalogeropoulos, Konstantinos, Baguelin, Marc (2013). Capturing the time-varying drivers of an epidemic using stochastic dynamical systems. Biostatistics, 14(3), 541-555. https://doi.org/10.1093/biostatistics/kxs052
  • Beskos, Alexandros, Kalogeropoulos, Konstantinos, Pazos, Erik (2013). Advanced MCMC methods for sampling on diffusion pathspace. Stochastic Processes and Their Applications, 123(4), 1415-1453. https://doi.org/10.1016/j.spa.2012.12.001
  • Kalogeropoulos, Konstantinos, Dellaportas, Petros, Roberts, Gareth O. (2011). Likelihood based inference for correlated diffusions. Canadian Journal of Statistics, 39(1), 52-72. https://doi.org/10.1002/cjs.10096
  • Dureau, Joseph, Kalogeropoulos, Konstantinos (2011-05-26) Inference on epidemic models with time-varying parameters: methodology and preliminary applications [Poster]. LSE Research Day 2011: The Early Career Researcher, London, United Kingdom, GBR.
  • Kalogeropoulos, Konstantinos, Roberts, Gareth O., Dellaportas, Petros (2010). Inference for stochastic volatility models using time change transformations. Annals of Statistics, 38(2), 784-807. https://doi.org/10.1214/09-AOS702
  • Kalogeropoulos, Konstantinos (2007). Likelihood-based inference for a class of multivariate diffusions with unobserved paths. Journal of Statistical Planning and Inference, 137(10), 3092-3102. https://doi.org/10.1016/j.jspi.2006.05.017