Don Berry | |
---|---|
Born | Southbridge, Massachusetts | May 26, 1940
Nationality | American |
Alma mater | Yale University |
Scientific career | |
Fields | Mathematics Statistics |
Institutions | University of Minnesota Duke University University of Texas |
Thesis | A Bernoulli Two-Armed Bandit |
Doctoral advisor | Joseph B. Kadane Leonard J. Savage |
Doctoral students | Lurdes Inoue |
Donald Arthur Berry (born May 26, 1940 [1] ) is an American statistician and a practitioner and proponent of Bayesian statistics in medical science. He was the chairman of the Department of Biostatistics and Applied Mathematics at the University of Texas M. D. Anderson Cancer Center from 1999-2010, where he played a role in the use of Bayesian methods to develop innovative, adaptive clinical trials. He is best known for the development of statistical theory relating to the design of clinical trials. He is a fellow of the American Statistical Association and the Institute of Mathematical Sciences. [2] He founded Berry Consultants, a statistical consulting group, with Scott Berry in 2000. [3]
Berry was born in Southbridge, Massachusetts, in 1940, and obtained an A.B. in mathematics from Dartmouth College, before moving to Yale University where he received an M.A. and Ph.D. in statistics. [1] Berry initially "flunked out" of his undergraduate education at Dartmouth and joined the army, being stationed in Panama, but at the request of his Dean he returned to Dartmouth to complete his undergraduate education in mathematics. [1]
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".
Bruno de Finetti was an Italian probabilist statistician and actuary, noted for the "operational subjective" conception of probability. The classic exposition of his distinctive theory is the 1937 "La prévision: ses lois logiques, ses sources subjectives," which discussed probability founded on the coherence of betting odds and the consequences of exchangeability.
Bayesian statistics is a theory in the field of statistics based on the Bayesian interpretation of probability where probability expresses a degree of belief in an event. The degree of belief may be based on prior knowledge about the event, such as the results of previous experiments, or on personal beliefs about the event. This differs from a number of other interpretations of probability, such as the frequentist interpretation that views probability as the limit of the relative frequency of an event after many trials.
David Harold Blackwell was an American statistician and mathematician who made significant contributions to game theory, probability theory, information theory, and statistics. He is one of the eponyms of the Rao–Blackwell theorem. He was the first African American inducted into the National Academy of Sciences, the first African American tenured faculty member at the University of California, Berkeley, and the seventh African American to receive a Ph.D. in mathematics. In 2012, President Obama posthumously awarded Blackwell the National Medal of Science.
Sir David John Spiegelhalter is a British statistician and a Fellow of Churchill College, Cambridge. From 2007 to 2018 he was Winton Professor of the Public Understanding of Risk in the Statistical Laboratory at the University of Cambridge. Spiegelhalter is an ISI highly cited researcher.
Model selection is the task of selecting a model from among various candidates on the basis of performance criterion to choose the best one. In the context of learning, this may be the selection of a statistical model from a set of candidate models, given data. In the simplest cases, a pre-existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is well-suited to the problem of model selection. Given candidate models of similar predictive or explanatory power, the simplest model is most likely to be the best choice.
Donald Bruce Rubin is an Emeritus Professor of Statistics at Harvard University, where he chaired the department of Statistics for 13 years. He also works at Tsinghua University in China and at Temple University in Philadelphia.
Sarah C. Darby is Professor of Medical Statistics at the University of Oxford. Her research has focused the beneficial effects of smoking cessation, the risk of lung cancer from residential radon, and treatments for early breast cancer. She is also a Principal Scientist with the Cancer Research UK in the Clinical Trial Service Unit (CTSU) and Epidemiological Studies Unit at the Nuffield Department of Clinical Medicine, at the Radcliffe Infirmary, Oxford.
Statistics is the theory and application of mathematics to the scientific method including hypothesis generation, experimental design, sampling, data collection, data summarization, estimation, prediction and inference from those results to the population from which the experimental sample was drawn. This article lists statisticians who have been instrumental in the development of theoretical and applied statistics.
Uroš Seljak is a Slovenian cosmologist and a professor of astronomy and physics at University of California, Berkeley. He is particularly well-known for his research in cosmology and approximate Bayesian statistical methods.
Joseph "Jay" Born Kadane is the Leonard J. Savage University Professor of Statistics, Emeritus in the Department of Statistics and Social and Decision Sciences at Carnegie Mellon University. Kadane is one of the early proponents of Bayesian statistics, particularly the subjective Bayesian philosophy.
In physics and the philosophy of physics, quantum Bayesianism is a collection of related approaches to the interpretation of quantum mechanics, of which the most prominent is QBism. QBism is an interpretation that takes an agent's actions and experiences as the central concerns of the theory. QBism deals with common questions in the interpretation of quantum theory about the nature of wavefunction superposition, quantum measurement, and entanglement. According to QBism, many, but not all, aspects of the quantum formalism are subjective in nature. For example, in this interpretation, a quantum state is not an element of reality—instead it represents the degrees of belief an agent has about the possible outcomes of measurements. For this reason, some philosophers of science have deemed QBism a form of anti-realism. The originators of the interpretation disagree with this characterization, proposing instead that the theory more properly aligns with a kind of realism they call "participatory realism", wherein reality consists of more than can be captured by any putative third-person account of it.
Stuart Alan Geman is an American mathematician, known for influential contributions to computer vision, statistics, probability theory, machine learning, and the neurosciences. He and his brother, Donald Geman, are well known for proposing the Gibbs sampler, and for the first proof of convergence of the simulated annealing algorithm.
Bani K. Mallick is a Distinguished Professor and Susan M. Arseven `75 Chair in Data Science and Computational Statistics in the Department of Statistics at Texas A&M University in College Station. He is the Director of the Center for Statistical Bioinformatics. Mallick is well known for his contribution to the theory and practice of Bayesian semiparametric methods and uncertainty quantification. Mallick is an elected fellow of American Association for the Advancement of Science, American Statistical Association, Institute of Mathematical Statistics, International Statistical Institute and the Royal Statistical Society. He received the Distinguished research award from Texas A&M University and the Young Researcher award from the International Indian Statistical Association.
Marvin Zelen was Professor Emeritus of Biostatistics in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (HSPH), and Lemuel Shattuck Research Professor of Statistical Science. During the 1980s, Zelen chaired HSPH's Department of Biostatistics. Among colleagues in the field of statistics, he was widely known as a leader who shaped the discipline of biostatistics. He "transformed clinical trial research into a statistically sophisticated branch of medical research."
Kim-Anh Do is an Australian biostatistician of Vietnamese descent. She is the chair of the Department of Biostatistics in the University of Texas MD Anderson Cancer Center, and the holder of the Electa C. Taylor Chair for Cancer Research at the center. She also holds adjunct professorships at Texas A&M University and Rice University.
Christopher Ian Amos is an American genetic epidemiologist and the director of the Institute for Clinical and Translational Research at Baylor College of Medicine, where he is also the associate director for quantitative science at the Dan L Duncan Comprehensive Cancer Center. He is known for his research on the genetic basis of certain types of human cancer.
Elena Aleksandrovna Erosheva is a Russian-American statistician and social scientist whose research applies Bayesian hierarchical modeling and latent variable models to problems in the social, behavioral, and health sciences. She is a professor at the University of Washington, appointed jointly in the Department of Statistics and the School of Social Work, and the associate director of the university's Center for Statistics and the Social Sciences.
Guosheng Yin is a statistician, a data scientist, an educator and a researcher in Biostatistics, Statistics and machine learning, AI. Presently, Guosheng Yin is Chair in Statistics in Department of Mathematics at Imperial College London. Previously, he served as the Head of Department and the Patrick S C Poon Endowed Chair in Statistics and Actuarial Science, at the University of Hong Kong. Before he joined the University of Hong Kong, Yin worked at the University of Texas M.D. Anderson Cancer Center till 2009 as a tenured Associate Professor of Biostatistics.