David Siegmund is an American statistician known for his contributions to statistical theory and methodology, particularly in areas such as survival analysis, Bayesian statistics, and applied statistics. He is noted for his work in developing various statistical models and methods that are widely used in a range of fields including biology and epidemiology.

David Hinkley could refer to several individuals, but without specific context, it's difficult to determine exactly which David Hinkley you are referring to. One notable David Hinkley is a well-known American author and journalist, known for his work in media and commentary. If you have a specific context or field in which you’re interested (e.g., sports, academia, literature), that would help narrow it down!

David Hand is a prominent statistician and academic known for his contributions to the field of statistics and data science. He has published extensively on various topics, including statistical modeling, informatics, and the use of statistics in practice. Hand has also contributed to the development of techniques in predictive modeling and has explored the implications of statistical thinking in real-world scenarios. In addition to his research, David Hand has been involved in teaching and has held various academic positions, including professorships at leading universities.

David Firth is a prominent statistician known for his contributions to a variety of fields within statistics, including statistical theory, hypothesis testing, and Bayesian methods. He is particularly noted for developing Firth's bias reduction method, which is used to address issues of bias in maximum likelihood estimation, especially in situations where the sample size is small or the data are sparse. Firth's work emphasizes the application of robust statistical techniques in different domains, including medical statistics and epidemiology.

David Roxbee Cox is a prominent British statistician, best known for his contributions to the field of statistics, particularly in survival analysis and the development of the Cox proportional hazards model. Born on July 15, 1924, Cox has greatly influenced statistical methodology, particularly in the areas of biostatistics and epidemiology.

Claudia Czado is a notable statistician and researcher known for her work in the fields of statistical modeling and data analysis, particularly in the areas of time series analysis, statistical learning, and copula models. She has been affiliated with academic institutions, often contributing to research in applied statistics, econometrics, and related fields. Czado has published a variety of papers and often collaborates on projects that involve complex statistical methods to analyze real-world data.

Caroline Uhler is a prominent researcher in the fields of applied mathematics, data science, and machine learning. She is known for her work on statistical algorithms, particularly in the context of genomics and systems biology. Uhler has made significant contributions to the development of methods for causal inference and the analysis of complex data structures. She is an academic, often associated with institutions such as the Massachusetts Institute of Technology (MIT), where she conducts research and teaches.

C. F. Jeff Wu is a prominent statistician known for his contributions to the fields of statistics and biostatistics. He is particularly recognized for his work in Bayesian statistics, statistical genetics, and the development of statistical methods for various applications, including quality improvement and experimental design. Wu has held significant academic positions, including serving as a professor in the Department of Statistics at the University of Michigan. He has also been recognized for his efforts in education and research within the statistical community.

Bradley Efron is a prominent American statistician best known for his contributions to statistics, particularly in the areas of resampling methods and the development of the bootstrap technique. Born on April 24, 1938, Efron has had a significant impact on the field, influencing how statisticians analyze data.

Bernard Silverman is a prominent statistician known for his contributions to various areas of statistics, including computational statistics, Bayesian methods, and epidemiology. He has held significant academic positions and has been involved in various research projects. Additionally, he has contributed to public health through statistical analysis and modeling.

Bent Jørgensen is a Danish statistician known for his contributions to statistical theory and methodologies, especially in the fields of Bayesian statistics, statistical decision theory, and experimental design. He has authored or co-authored numerous papers and has been involved in various research projects that explore complex statistical models and practical applications of statistics in various disciplines.

Andrew Gelman is an American statistician and professor known for his work in statistical methodology, particularly in the fields of Bayesian statistics, multilevel modeling, and political science. He is a professor at Columbia University, where he is affiliated with both the Department of Statistics and the Department of Political Science. Gelman has authored several influential books and numerous research papers and is recognized for his efforts to improve statistical practices and communicate complex statistical ideas clearly.

Andreas Buja is a prominent figure in the field of statistics and data science, known for his contributions to data visualization, statistical modeling, and machine learning. He has held various academic positions and is recognized for his work in developing methods for exploring and interpreting complex data sets. Buja is also known for advocating the importance of effective data communication and has been involved in creating tools to enhance data analysis and visualization capabilities.

As of my last knowledge update in October 2021, Allan Birnbaum is not a widely recognized public figure or term in mainstream discourse. It's possible that he might be an individual known within specific contexts, such as academia, local community, arts, or other fields, but detailed information about him isn't readily available.

Alan Agresti is an American statistician and a prominent figure in the field of statistics, particularly known for his work in categorical data analysis, design of experiments, and statistical methods. He has authored several textbooks and research papers on these topics and has contributed significantly to the development of statistical methodologies. Agresti is also recognized for his role in advancing the teaching of statistics and has been involved in statistical consulting and applied research. His works are widely used in academic and research settings.

Aad van der Vaart is a prominent Dutch mathematician known for his contributions to the field of mathematics, particularly in the areas of functional analysis and statistics. He has published several works and is recognized for his research in the mathematical foundations of statistical methods.

The Turkish Mathematical Society (Türk Matematik Derneği, TMD) is a professional organization in Turkey that aims to promote the study and teaching of mathematics. Established in 1955, the society plays a crucial role in supporting mathematicians, educators, and students in their pursuit of mathematical knowledge and research. Key activities of the Turkish Mathematical Society include: 1. **Publications**: The society publishes various mathematical journals and resources to disseminate research findings and educational materials.

The Swiss Mathematical Society (SMS) is a professional organization that aims to promote and support the development of mathematics in Switzerland. Founded in 1838, the society serves various roles, including fostering collaboration among mathematicians, organizing conferences and workshops, publishing research, and promoting mathematics education at different levels. The SMS is involved in several key activities: 1. **Publications**: It publishes various mathematical journals and proceedings that contribute to the dissemination of mathematical research.

The Spitalfields Mathematical Society is a mathematical society that was founded in 1717 in London, England. The society is notable for its role in fostering the study and advancement of mathematics in the 18th century. It is named after the Spitalfields area of London where it was originally established. The society was formed by a group of mathematicians, astronomers, and other intellectuals who met to discuss and promote mathematical research.