Joseph P. Romano, Stanford University
Professor
Stanford, California
romano@stanford.edu
Office:
(650) 723-6326
Expert In
Bio/Research
Statistics is concerned with making sense or inferences about the world based on limited information and uncertainties. In contrast, mathematics is exact, where the goal is to prove theorems based on a well-defined set of assumptions. It is the juxtaposition of statistics and mathematics that I f...
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Bio/Research
Statistics is concerned with making sense or inferences about the world based on limited information and uncertainties. In contrast, mathematics is exact, where the goal is to prove theorems based on a well-defined set of assumptions. It is the juxtaposition of statistics and mathematics that I find intriguing and challenging. Mathematical statistics serves to precisely quantify and explain what can be learned from data in spite of having to acknowledge our uncertainty in the process.
While much of my own research has been theoretically oriented, I have been motivated by a desire to develop practical statistical methodology in order to construct techniques that may be applied safely in practice. I have been particularly interested in advancing "nonparametric" techniques that do not rely on the statistician having to invoke unverifiable assumptions. In my work, I have tried to explore the extent of applicability of bootstrap, subsampling, and other resampling methods, as well as understanding their limitations.
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While much of my own research has been theoretically oriented, I have been motivated by a desire to develop practical statistical methodology in order to construct techniques that may be applied safely in practice. I have been particularly interested in advancing "nonparametric" techniques that do not rely on the statistician having to invoke unverifiable assumptions. In my work, I have tried to explore the extent of applicability of bootstrap, subsampling, and other resampling methods, as well as understanding their limitations.
Click to Shrink <<