Dr Miguel Juarez

School of Mathematical and Physical Sciences

Lecturer in Statistics

m.juarez@sheffield.ac.uk

Full contact details

Dr Miguel Juarez
School of Mathematical and Physical Sciences
I13
Hicks Building
Hounsfield Road
Sheffield
S3 7RH
Profile

Miguel obtained a PhD in Mathematical Sciences (Statistics) from Universidad de Valencia, Spain in 2004 with a dissertation in Objective Bayesian methods for point estimation and hypothesis testing.
From 2005-2008 he was a research fellow in the Statistics department at University of Warwick dealing with models for panel data that incorporate skewness and heavy tails.
In 2008 he moved to the Warwick Systems Biology Centre as a research fellow in Bayesian analysis of biological data, with a special emphasis in developing models for gene regulatory networks.

In 2010 he joined the School of Mathematics and Statistics as a lecturer in Statistics.

Research interests

Bayesian statistics. Hierarchical modelling for panel and longitudinal data. Image analysis for super-resolution microscopy. In silico augmented clinical trials

Publications

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Journal articles

All publications

Journal articles

Book chapters

  • (2024) Toward Good Simulation Practice In Viceconti M & Emili L (Ed.) Springer Nature Switzerland RIS download Bibtex download
  • Viceconti M, Juárez M, Loewe A, Calvetti D, Somersalo E, Geris L, Horner M & De Cunha Maluf-Burgman M (2024) Theoretical Foundations of Good Simulation Practice, Synthesis Lectures on Biomedical Engineering (pp. 9-23). Springer Nature Switzerland RIS download Bibtex download
  • Buck CE & Juárez MA (2020) Modelización bayesiana de radiocarbono para principiantes In Barceló JA & Morell B (Ed.), Métodos cronométricos en arqueología, prehistoria y paleontología (pp. 297-314). Madrid: Dextra Editorial. View this article in WRRO RIS download Bibtex download

Conference proceedings

Datasets

Preprints

Research group

Mathematical and Statistical Modelling

Mathematical Biology

Teaching activities
MAS2010Statistical Inference and Modelling