LucienLeCam, a French mathematician, was born in 1924 and died in 2000. He is an important figure in the fields of probability theory and mathematical statistics, but little known. His work involves estimation theory, maximum likelihood estimation, Bayesian statistics and nonparametric statistics, which has a far-reaching impact on the development of modern statistical theory.

Luuk de Jong's father is a doctor and her mother is a housewife. He studied mathematics at the University of Paris, and received his doctorate at 1952. Later, he worked in CNRS for a while, and then worked as a professor at Harvard University, University of California at Berkeley and Stanford University.

Luuk de Jong's achievements.

Luuk de Jong has made many important contributions in the fields of probability theory and mathematical statistics. His work mainly focuses on estimation theory, maximum likelihood estimation, Bayesian statistics and nonparametric statistics.

Estimation theory is an important branch of probability theory and statistics, which studies how to infer the value of population parameters from sample data. Luuk de Jong made many important contributions to estimation theory. He proposed a new estimation method-"maximum likelihood estimation". According to the known sample data, this method estimates the value of the population parameters by maximizing the likelihood function. Maximum likelihood estimation method has been widely used in statistics and has become an important parameter estimation method.

Bayesian statistics is a statistical method based on Bayesian theorem, which is used to infer the value of population parameters from known prior information and sample data. Luuk de Jong also made many important contributions to Bayesian statistics. He proposed a new Bayesian statistical method-"minimum posterior risk estimation". On the basis of minimizing the posterior risk function, this method estimates the value of the overall parameters through prior distribution and sample data. Minimum a posteriori risk estimation method has been widely used in pattern recognition, signal processing and machine learning.

Nonparametric statistics is a statistical method that does not need to assume the form of population distribution. It is mainly used to deal with complex, unknown or difficult to model data. Luuk de Jong also made many important contributions to nonparametric statistics. He proposed a new nonparametric statistical method-"local maximum likelihood estimation". Based on the local maximum likelihood function, this method estimates the form of population distribution through sample data. Local maximum likelihood estimation method has been widely used in signal processing, image processing and biostatistics.

Luuk de Jong's forgetfulness

Although Luuk de Jong has made many important contributions in the fields of probability theory and mathematical statistics, it is little known. This is because his work mainly focuses on theory, not application. In addition, his research results are abstract and abstruse, which is not easy for ordinary people to understand.

In addition, Luke Derong is not a good salesman. He seldom attends academic conferences and lectures, and rarely writes articles and publishes papers. He prefers to think and study alone and devote his time and energy to academic research. This has also led to his work not getting due attention and recognition.