Pao-Lu Hsu was born in Beijing on September 1, 1910, with his ancestral home in Hangzhou, Zhejiang Province. He was from a prominent intellectual family. In his childhood, he received solid training in both traditional Chinese and modern western cultures. He graduated from Tsinghua University in 1933, majoring in mathematics. After his graduation, he worked at Peking University as a teacher. In the meantime, he published a joint paper with Tsai-han Kiang (Jiang Zehan) on the numbers of nondegenerate critical points, which showed his solid mathematical foundation and research capability. In 1936, he went to University College London and spend four years studying mathematical statistics. During this period, with his strong mathematical skill combining with advanced statistical ideas, he wrote a series remarkable papers. He earned his Ph.D. in 1938 and Sc.D. in 1940. From London, he returned to China, accepting a professorship in the Department of Mathematics, Peking University. Nevertheless, the ensuing years were a period of great difficulty and hardship for him. During the years 1943–44, he corresponded with Jerzy Neyman (who was by this time at Berkeley) about statistics-related matters, but also mentioning in these letters the great hardship he was suffering, particularly starvation.
In 1945, he went to the United States, visiting the University of California at Berkeley, Columbia University, and the University of North Carolina at Chapel Hill. In 1947, he returned to Beijing and thereafter he was engaged in teaching mathematics at Peking University for more than 20 years. Unfortunately, poor health had dogged Hsu from 1950 onward. Although many concerned about his health repeatedly suggested he go abroad to recuperate, he politely refused, insisting on teaching and continuing his research work.
In 1956, Dr. Hsu was made Director of the first research institute for probability and statistics to be established in China. But his health continued to worsen, forcing him to work at home, which included giving lectures at his home to graduate students and young teachers using a blackboard hanging on a wall of his room.
A month before his death in 1970 his manuscript on the relationship between experimental design and algebraic coding theory was completed, with such being his final legacy. Hsu died in his home on the campus of Peking University on December 18, 1970, from chronic tuberculosis. Found beside his bed the day after his death were piles of manuscripts that "serve as a testimony to the super-human fortitude with which he exerted himself for a period of more than 20 years..." In total, he had published more than 40 papers.
There was a memorial meeting and Pao-Lu Hsu Award[2] in his honor.[3][4] Hsu is a Fellow of the Institute of Mathematical Statistics (IMS) and Academician of the Academy of Science of China. Memorial meetings were held in 1980, 1990, 2000 & 2010 at Peking University.
Professor Hsu's main research areas were mathematical statistics and probability theory. He was an expert in operating matrix, manipulating characteristic functions and integral transformation. Hsu was a world-class statistician and is considered to be the founder of probability and statistics in China.
In 1938, Hsu's first two statistical papers were published, concerning the Behrens–Fisher problem[5] and an optimal estimate of the varianceσ2 in Gauss-Markov processes.[6] In another important paper published around this time, Hsu established the first optimal property for hypotheses in the likelihood-ratio test for univariate linear models, which was also the first nonlocal optimal property for any hypothesis specifying the value of more than one parameter.[7] From 1938 to 1945, Hsu published several papers at the forefront of the development of the theory of multivariate analysis. During this time, he obtained several exact or asymptotic estimates of important statistical distributions in the field of multivariate analysis.[8][9]
Hsu's work in probability
Hsu was an expert in manipulating characteristic functions, which he used as a tool in obtaining the distributions of certain random variables and in determining the limiting distribution of series of random variables (as in the Hsu–Robbins–Erdős theorem for which he is partially named).[10][11]
^Lehmann, E. L. (1979). Hsu's work on inference. The Annals of Statistics, 471–473.
^Hsu, P. L., & Robbins, H. (1947). Complete convergence and the law of large numbers. Proceedings of the National Academy of Sciences of the United States of America, 33(2), 25.
^Erdos, P. (1949). On a theorem of Hsu and Robbins. The Annals of Mathematical Statistics, 286–291.
^A general weak Limit theorem for independent distributions.(Appendix III in limit Theorems of Sums of Independent Random Variables by B. V. Gnedenko and A. N. Kolmogorov, translated by K. L. Chung, revised edition, Addison–Wesley 1968).
