A prominent Indian-American mathematician and statistician, Calyampudi Radhakrishna Rao, will receive the 2023 International Prize in Statistics, the equivalent of the Nobel Prize in the field, for his monumental work 75 years ago that revolutionised statistical thinking.
Rao’s work, more than 75 years ago, continues to exert a profound influence on science, the International Prize in Statistics Foundation said in a statement.
The Indian-American, who is now 102, will receive the prize, which comes with a USD 80,000 award, this July at the biennial International Statistical Institute World Statistics Congress in Ottawa, Ontario, Canada.
“In awarding this prize, we celebrate the monumental work by C. R. Rao that not only revolutionized statistical thinking in its time but also continues to exert enormous influence on human understanding of science across a wide spectrum of disciplines,” said Guy Nason, chair of the International Prize in Statistics Foundation.
In his remarkable 1945 paper published in the Bulletin of the Calcutta Mathematical Society, Rao demonstrated three fundamental results that paved the way for the modern field of statistics and provided statistical tools heavily used in science today, the Foundation said in a statement on April 1.
The first, now known as the Cramer-Rao lower bound, provides a means for knowing when a method for estimating a quantity is as good as any method can be.
The second result, known as the Rao-Blackwell Theorem (after eminent statistician David Blackwell who independently discovered it), offers a way to improve an estimate—indeed, to create an optimal estimate. Together, these results form a foundation on which much of statistics is built, the statement said.
The third result provided insights that pioneered a new interdisciplinary field that has flourished as “information geometry.” Combined, these results help scientists more efficiently extract information from data, the statement added.
Information geometry has recently been used to aid the understanding and optimization of Higgs boson measurements at the Large Hadron Collider, the world’s largest and most powerful particle accelerator.
It has also found applications in recent research on radars and antennas and contributed significantly to advancements in artificial intelligence, data science, signal processing, shape classification, and image segregation.
The Rao-Blackwell process has been used in many areas, including computational econometrics, particle filtering, and stereology. The Cramer-Rao lower bound is very important in many areas, including signal processing, spectroscopy, radar systems, multiple image radiography, risk analysis, and quantum physics.
Rao was born to a Telugu family in Hadagali, Karnataka. His schooling was completed in Gudur, Nuzvid, Nandigama, and Visakhapatnam, all in Andhra Pradesh.
He received an MSc in mathematics from Andhra University and an MA in statistics from Calcutta University in 1943.
He obtained a PhD degree at King’s College at Cambridge University. He added a DSc degree, also from Cambridge, in 1965.
Rao first worked at the Indian Statistical Institute and the Anthropological Museum in Cambridge.
Later, he held several important positions, including Director of the Indian Statistical Institute, Jawaharlal Nehru Professor and National Professor in India, University Professor at the University of Pittsburgh, Eberly Professor and Chair of Statistics, and Director of the Center for Multivariate Analysis at Pennsylvania State University.
He is currently a professor emeritus at Pennsylvania State University and a research professor at the University of Buffalo.
Rao has received many honours. He was awarded the titles of Padma Bhushan by the Indian Government in 1968 and Padma Vibhushan in 2001.
A collaboration between five top international statistics organizations awards the International Prize in Statistics every two years.
The prize recognises a major achievement by an individual or team in the statistics field, particularly an achievement of powerful and original ideas that have led to practical applications and breakthroughs in other disciplines.
The prize is modelled after the Nobel Prize, Abel Prize, Fields Medal, and Turing Award.
The first International Prize in Statistics was awarded in 2017 to David R. Cox for the development of the Cox proportional hazards model, which allows researchers to investigate patient survival rates in complex studies.
Bradley Efron received the award in 2019 for a statistical method known as the bootstrap, a clever computational method for assessing uncertainty in applied statistics. Nan Laird received the award in 2021 for the development of powerful methods that have made possible the analysis of complex longitudinal studies.
*This story has been published from a wire agency feed without modifications to the text. Only the headline has been changed.
Honestly, no one would nominate him or what, since he is receiving the prize only this summer in Canada but for work accomplished 75 years ago. Send him the darn award now, for heaven’s sake
Yes. Send him the well-deserved award! It’s well overdue. He needs to receive it in person, not some tribute later.
Why not just say he’s American, why Indian-American? Bradley Efron hasn’t got a “Made in” title even though he has Russian Jewish immigrant parents.