Mathematical methodology to extract useful information from data
- Statistical theory and practice on computer intensive methods, such as model selection, bootstrap, etc.
- Inference based on probabilistic modelling (information criteria, information geometry, MCMC, Bayesian inference, scale-free networks, etc.)
- Bioinformatics (applications to phylogenetics, microarray analysis)
- The CV and publication list with citation (Web of Knowledge & google scholar)
- The linkedin profile is at
- A partial publication list with a citation by year plot is available at ResearcherID.com
- Shimodaira and Hasegawa (2001, Bioinformatics) was awarded as ISI New Hot Papers (2003-07) in Computer Science.
- The test procedure of Shimodaira and Hasegawa (1999, Molecular Biology and Evolution) is becoming used widely for phylogenetic tree selection. This procedure has been implemented in several software packages. The paper of SH (1999) has been cited 36 times in the first two years after the publication, and more than 1100 citations by January 2008. See the page of CONSEL, and the page of Nick Goldman at EMBL.
- An approximately unbiased test for arbitrary-shaped regions has been developed using a newly devised multiscale bootstrap technique. The procedure is described in Shimodaira (2002, Systematic Biology), and the software CONSEL is described in Shimodaira and Hasegawa (2001, Bioinformatics) for a bioinformatics application. This is based on an extension of the geometric theory of Efron, Halloran and Holmes (1996, PNAS). The theory is now generalized for the exponential family of distributions as described in Shimodaira (2004a, Annals of Statistics). See the page of multistep-multiscale bootstrap resampling.
- An improved version of multiscale bootstrap, taking accout of the singularity of surfaces, is developped in Shimodaira (2008). The new method includes, as a special case, the former multiscale bootstrap of Shimodaira (2002). The new method is implemented in scaleboot (an R package for multiscale bootstrap).
- Hidetoshi Shimodaira, Ph. D.
- Associate Professor
- Department of Mathematical and Computing Sciences
- Tokyo Institute of Technology
- Ookayama, Meguro-ku, Tokyo 152-8552, JAPAN.
- shimo (a) is.titech.ac.jp