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Miguel Angel Alvarez Ballesteros

About Miguel Angel Alvarez Ballesteros

Miguel Angel Alvarez Ballesteros

  • Ph.D. Student, Applied Mathematics and Computational Science

Monte carlo methods Bayesian computational statistics

Miguel Angel research focuses on Monte Carlo methods for parameter inference in partially observed stochastic systems.

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Related News

October 2026

  • Miguel Alvarez after PhD defence, with Prof. Jasra and Prof. Tempone

    Miguel Alvarez successfully defends his PhD Thesis

    1 min read · Thu, Oct 15 2026

    News

    Miguel Alvarez successfully defended his PhD Thesis entitled "Unbiased and Multilevel Monte Carlo Methods for Parameter Inference in Latent Stochastic Systems" on Octrober 14th, 2026.

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Related Sites

  • Stochastic Numerics Research Group (STOCHNUM)
  • Applied Mathematics and Computational Science (AMCS)

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