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Teddy Seidenfeld, H.A. Simon Professor of Philosophy and Statistics, Departments of Philosophy and Statistics, Carnegie Mellon University
Ph.D. Columbia...Teddy Seidenfeld, H.A. Simon Professor of Philosophy and Statistics, Departments of Philosophy and Statistics, Carnegie Mellon University
Ph.D. Columbia University, 1976
Teddy Seidenfeld works at the interface between philosophy and statistics, often being concerned with problems that involve multiple decision makers. For example, in collaboration with M.J. Schervish and J.B. Kadane (Statistics, CMU), they have relaxed the norms of Bayesian theory to permit a unified standard, both for individuals acting as separate decision makers and collectively, in forming a cooperative group agent. By contrast, this is an impossibility for strict Bayesian theory. For a second example, in collaboration with Larry Wasserman (Statistics, CMU), they have examined the short-run consequences of using Bayes rule for updating a set of expert Bayesian opinions with shared information. They focus on anomalous cases (they call dilation), where an experiment is certain to result in new evidence that increases the experts: uncertainty about an event of common interest where uncertainty is reflected in the extent of probabilistic disagreements among the experts. His current collaboration with Kadane and Schervish incudes a theory for indexing the degree of incoherence in non-Bayesian statistical decisions.
to person stat homepage by pitman on Aug 8, 2008, 7:38 PM
* Dr. Kerr's Homepage
* About Me
to person homepage statistics by pitman on Aug 8, 2008, 2:10 AMProfessor Cox's primary research interests are nonparametric function estimation, stochastic processes, statistical computing, and the application of stati...Professor Cox's primary research interests are nonparametric function estimation, stochastic processes, statistical computing, and the application of statistical methods to complex scientific and technological problems, such as testing theories against experimental data when computational complexity limits the number of theoretical predictions that can be obtained.
Many such problems involve estimation of unknown constants or even unknown functions. Professor Cox has done fundamental research in the use of spline functions for such applications and extensive work in developing methodologies and practical computational approaches. He has collaborated with investigators from such disciplines as electrical engineering, neurophysiology, oncology, and economics but currently is most active in applications in nuclear fusion research. He expects that there will be applications for such methodologies in materials science and atmospheric science as well. Professor Cox has also done theoretical work in nonparametric function estimation, statistical approximation theory, and Bayesian methods.
to person homepage statistics by pitman on Aug 7, 2008, 10:08 PMResearch
My current field of interest is in algebraic combinatorics with a representation theoretic bent. I also like thinking about problems in discrete ...Research
My current field of interest is in algebraic combinatorics with a representation theoretic bent. I also like thinking about problems in discrete and algebraic geometry. Occassionally I do some extremal combinatorics.
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Ph.D. Candidate
Department of Electrical Engineering
Stanford University
Advisor: Professor Stephen Boyd
to person homepage cs by pitman on Apr 16, 2008, 5:17 AMDavid François Huynh
Research Scientist
Haystack Group + SIMILE Project + UID Group
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Mas...David François Huynh
Research Scientist
Haystack Group + SIMILE Project + UID Group
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Massachusetts Institute of Technology (MIT)
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David D. Lewis, Ph.D.
858 W. Armitage Ave., #296
Chicago, IL 60614 U.S.A.
phone: 773-975-0304
fax: 773-289-0507
Services: I work with clients to mak...David D. Lewis, Ph.D.
858 W. Armitage Ave., #296
Chicago, IL 60614 U.S.A.
phone: 773-975-0304
fax: 773-289-0507
Services: I work with clients to make the most effective use possible of textual data. Applications I have worked on include search engines, text categorization, filtering of email and web pages, mining of customer data, and a variety of others. My clients have included both vendors and users of text processing software, and my work with them has included mining data sets, analyzing manual and automated text processing procedures, designing algorithms and system architectures, performing competitive and strategic analysis, training, and ongoing advisory relationships. Contact me to see how we can work together.
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Bernardo Huberman is a Senior HP Fellow and Director of the Social Computing Lab at Hewlett-Packard Laboratories. He received his Ph.D. in Physics from the...Bernardo Huberman is a Senior HP Fellow and Director of the Social Computing Lab at Hewlett-Packard Laboratories. He received his Ph.D. in Physics from the University of Pennsylvania, and is currently a Consulting Professor in the Department of Applied Physics at Stanford University. He originally worked in condensed matter physics, ranging from superionic conductors to two-dimensional superfluids, and made contributions to the theory of critical phenomena in low dimensional systems. He was one of the discoverers of chaos in a number of physical systems, and also established a number of universal properties in nonlinear dynamical systems. His research into the dynamics of complex structures led to his discovery of ultradiffusion in hierarchical systems.
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