Related Research Articles
Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief.
Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law. In the philosophy of decision theory, Bayesian inference is closely related to subjective probability, often called "Bayesian probability".
Oregon State University (OSU) is a public land-grant research university in Corvallis, Oregon. The university offers more than 200 undergraduate-degree programs along with a variety of graduate and doctoral degrees. On-campus enrollment averages near 32,000, making it the state's largest university. Since its founding over 272,000 students have graduated from OSU. It is classified among "R1: Doctoral Universities – Very high research activity" with an additional, optional designation as a "Community Engagement" university.
Social statistics is the use of statistical measurement systems to study human behavior in a social environment. This can be accomplished through polling a group of people, evaluating a subset of data obtained about a group of people, or by observation and statistical analysis of a set of data that relates to people and their behaviors.
In computer science, computational learning theory is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms.
Stephen Elliott Fienberg was a Professor Emeritus in the Department of Statistics, the Machine Learning Department, Heinz College, and Cylab at Carnegie Mellon University. Fienberg was the founding co-editor of the Annual Review of Statistics and Its Application and of the Journal of Privacy and Confidentiality.
Jayanta Kumar Ghosh was an Indian statistician, an emeritus professor at Indian Statistical Institute and a professor of statistics at Purdue University.
Andrew Gelman is an American statistician, professor of statistics and political science at Columbia University. He earned a bachelor's degree in mathematics and in physics from MIT, where he was a National Merit Scholar, in 1986. He then earned a Ph.D. in statistics from Harvard University in 1990 under the supervision of Donald Rubin.
Malay Ghosh is an Indian statistician and currently a Distinguished Professor at the University of Florida. He obtained a B.S. in 1962 from the University of Calcutta, and subsequently a M.A. in 1964 from the University of Calcutta. Then he moved to the United States to pursue higher academic studies and obtained his Ph.D. degree in 1969 from the University of North Carolina at Chapel Hill, under the supervision of Pranab K. Sen.
Sudipto Banerjee is an Indian-American statistician best known for his work on Bayesian hierarchical modeling and inference for spatial data analysis. He is currently Professor and Chair of the Department of Biostatistics in the School of Public Health at the University of California, Los Angeles (UCLA).
Alan E. Gelfand is an American statistician, and is currently the James B. Duke Professor of Statistics and Decision Sciences at Duke University. Gelfand’s research includes substantial contributions to the fields of Bayesian statistics, spatial statistics and hierarchical modeling.
Wayne DeSarbo is the Mary Jean and Frank P. Smeal Distinguished Professor of Marketing at the Smeal College of Business at Pennsylvania State University at University Park and executive director the Center for Sports Business and Research. He is known for his work on multidimensional scaling, and multivariate statistics in relation to marketing research. He is a fellow of the American Statistical Association.
George Chien-Cheng Tseng is a Biostatistician and Professor and Vice Chair for Research in the Department of Biostatistics (primary), Computational & Systems Biology (secondary) and Human Genetics (secondary) at University of Pittsburgh Graduate School of Public Health.
Mark E. Peeples is an American biologist, focusing on protein structure and folding, and the molecular basis of disease and virology. He is doing research on RSV infection. He is currently at The Research Institute at Nationwide Children's Hospital and Ohio State University and is an Elected Fellow of the American Association for the Advancement of Science.
Mark L. Failla is an American health nutritionist, focusing in digestion, absorption, intestinal metabolism, bioactive compounds, gut health and bioavailability, currently a Professor Emeritus at Ohio State University and an Elected Fellow of the American Association for the Advancement of Science.
Alicia Laura Carriquiry is a Uruguayan statistician. She is a distinguished professor of statistics at Iowa State University, and was president of the International Society for Bayesian Analysis in 2001. Her research applies Bayesian statistics to nutrition, genomics, forensics, and traffic safety.
Marina Vannucci is an Italian statistician, the Noah Harding Professor and Chair of Statistics at Rice University, the past president of the International Society for Bayesian Analysis, and the former editor-in-chief of Bayesian Analysis. Topics in her research include wavelets, feature selection, and cluster analysis in Bayesian statistics.
Merlise Aycock Clyde is an American statistician known for her work in model averaging for Bayesian statistics. She is a Professor of Statistical Science and chair of the Department of Statistical Science at Duke University. She was president of the International Society for Bayesian Analysis (ISBA) in 2013, and chair of the Section on Bayesian Statistical Science of the American Statistical Association for 2018.
Dalene Kay Stangl is an American statistician known for development and promotion of Bayesian statistical methods in health-related research.
Tamara Ann Broderick is an American computer scientist at the Massachusetts Institute of Technology. She works on machine learning and Bayesian inference.
References
- ↑ "Mark Berliner". aaas.org. Retrieved May 14, 2017.
- ↑ "Mark Berliner". osu.edu. Retrieved May 14, 2017.
- ↑ "Faculty". osu.edu. Retrieved May 14, 2017.
   | This article about an American mathematician is a stub. You can help Wikipedia by expanding it. |