gov3009-l October 2003

gov3009-l@lists.fas.harvard.edu

1 participants
5 discussions

paper available: Marcello Pagano, Wed's Adv. Stats Workshop

by adiamond＠fas.harvard.edu

Professor Pagano's paper is now available online: http://www.courses.fas.harvard.edu/~gov3009/Calendar/pagano.pdf Abstract: The topic of this paper is the distribution of distances between two points distributed independently in space. We illustrate the use of this interpoint distance distribution to describe the characteristics of a set of points within some fixed region. The properties of its sample version, and thus inference about this function, are discussed both in the discrete and in the continuous setting. We illustrate its use in the detection of spatial clustering by application to a well-known leukemia data set, and report on the results of a simulation experiment designed to study the power characteristics of the methods within that study region and in an artifcial homogenous setting.

20 years, 6 months

Applied Stats Wkshop: M. Pagano-'Health Surveillance' Wed@noon

by adiamond＠fas.harvard.edu

*************************************** Research Workshop in Applied Statistics *************************************** Please join us this Wednesday @ noon at CBRSS, the Center for Basic Research in the Social Sciences, 34 Kirkland Street, Rm 22, for "Health Surveillance and Bio-Tracking", presented by Marcello Pagano, Professor of Statistical Computing in the Department of Biostatistics. -- Much of Professor Pagano's research in biostatistics involves computer- intensive methods, including time series methods, methods for calculating permutation distributions, and clustering methods, especially those dealing with statistics based on distances. These distance-based methods are now finding applications in genetic studies and syndromic surveillance. Professor Pagano is also interested in surveillance methods involving screening and associated laboratory tests. The accuracy of these tests is important, for example, to maintain the integrity of the nation's blood supply. He is involved in more accurate testing methodologies, using existing technologies, that are doubly beneficial because they are also cheaper to implement, which means that more testing may be done. -- As always, lunch will be provided. Contact information, the current schedule, and previous presentations may be found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/ ****************************************** The Research Workshop in Applied Statistics is a forum for graduate students, faculty, and visiting scholars to present and discuss work in progress and exchange ideas. It is intended as a tour of Harvard's statistical innovations and applications with weekly stops in different disciplines such as economics, epidemiology, medicine, political science, psychology, public policy, public health, sociology and statistics. The topics of papers presented in previous years included missing data, survey analysis, Bayesian simulation, sample selection, and models for election and portfolio choice. Faculty and student participants in the workshop present their current projects, and guest speakers also give occasional presentations. The workshop provides an excellent opportunity for informal interaction between graduate students and faculty from a variety of disciplines. Course credit is available for students as either an upper-level Government or Sociology class. Lunch is provided. If you are interested, note that all events are held at noon, in Room 22, Center for Basic Research in Social Sciences (CBRSS, 34 Kirkland St., this is the yellow building across the street from William James Hall). Contact information and previous presentations may be found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/ To join the gov3009 mailing list, send e-mail to gov3009-l-request(a)fas.harvard.edu with the following text message: subscribe end Questions? Please contact the workshop coordinator, Alexis Diamond, at <adiamond(a)fas.harvard.edu>

20 years, 6 months

Applied Stats Workshop: Nakamura & Steinsson, Wed @noon, CBRSS

by adiamond＠fas.harvard.edu

*************************************** Research Workshop in Applied Statistics *************************************** Please join us this Wednesday @ noon at CBRSS, the Center for Basic Research in the Social Sciences, 34 Kirkland Street, Rm 22, for "Econometric Learning", presented by Emi Nakamura and Jon Steinsson. Draft of paper available at http://www.courses.fas.harvard.edu/~gov3009/Calendar/learning.pdf FROM THE PAPER: "Much economic analysis of decision-making focuses on how agents should maximize expected utility in the context of a known stochastic model. Yet, much of what makes decision-making hard is developing the appropriate model rather than optimizing once the model has been agreed upon. We provide a general framework for thinking about this aspect of economic behavior. We emphasize 3 main points. First, model choice is an important aspect of rationality when the true model is unknown. Second, modelling is a costly activity, and changes in the costs of modelling have important effects on peoples' decisions about which model to use. Third, one's choice of model often has externality effects on other people. As a consequence of these externalities, firms and governments often have an incentive to intervene in the model formation process. We follow in the footsteps of Savage (1954) and Hansen and Sargent (2000) in suggesting that microtheory and econometrics are not far apart as they might seem from the familiar dichotomy between empirical and theoretical research." As always, lunch will be provided. Contact information, the current schedule, and previous presentations may be found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/ ****************************************** The Research Workshop in Applied Statistics is a forum for graduate students, faculty, and visiting scholars to present and discuss work in progress and exchange ideas. It is intended as a tour of Harvard's statistical innovations and applications with weekly stops in different disciplines such as economics, epidemiology, medicine, political science, psychology, public policy, public health, sociology and statistics. The topics of papers presented in previous years included missing data, survey analysis, Bayesian simulation, sample selection, and models for election and portfolio choice. Faculty and student participants in the workshop present their current projects, and guest speakers also give occasional presentations. The workshop provides an excellent opportunity for informal interaction between graduate students and faculty from a variety of disciplines. Course credit is available for students as either an upper-level Government or Sociology class. Lunch is provided. If you are interested, note that all events are held at noon, in Room 22, Center for Basic Research in Social Sciences (CBRSS, 34 Kirkland St., this is the yellow building across the street from William James Hall). Contact information and previous presentations may be found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/ To join the gov3009 mailing list, send e-mail to gov3009-l-request(a)fas.harvard.edu with the following text message: subscribe end Questions? Please contact the workshop coordinator, Alexis Diamond, at <adiamond(a)fas.harvard.edu>

20 years, 6 months

Applied Stats Workshop: Samuel Kou, Wed @noon, CBRSS

by adiamond＠fas.harvard.edu

*************************************** Research Workshop in Applied Statistics *************************************** Please join us this Wednesday @ noon at CBRSS, the Center for Basic Research in the Social Sciences, 34 Kirkland Street, Rm 22, for "Bayesian Analysis of Single Molecule Experimental Data", presented by Samuel Kou. Samuel Kou is Assistant Professor of Statistics at Harvard. His research interests include stochastic modeling in natural and social sciences, inference about stochastic models, statistical analysis of single molecule experiments, nonparametric methods, model selection and empirical Bayes, and Monte Carlo methods. His abstract is available at http://www.courses.fas.harvard.edu/~gov3009/Calendar/Kou.tlkt As always, lunch will be provided. Contact information, the current schedule, and previous presentations may be found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/ ****************************************** The Research Workshop in Applied Statistics is a forum for graduate students, faculty, and visiting scholars to present and discuss work in progress and exchange ideas. It is intended as a tour of Harvard's statistical innovations and applications with weekly stops in different disciplines such as economics, epidemiology, medicine, political science, psychology, public policy, public health, sociology and statistics. The topics of papers presented in previous years included missing data, survey analysis, Bayesian simulation, sample selection, and models for election and portfolio choice. Faculty and student participants in the workshop present their current projects, and guest speakers also give occasional presentations. The workshop provides an excellent opportunity for informal interaction between graduate students and faculty from a variety of disciplines. Course credit is available for students as either an upper-level Government or Sociology class. Lunch is provided. If you are interested, note that all events are held at noon, in Room 22, Center for Basic Research in Social Sciences (CBRSS, 34 Kirkland St., this is the yellow building across the street from William James Hall). Contact information and previous presentations may be found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/ To join the gov3009 mailing list, send e-mail to gov3009-l-request(a)fas.harvard.edu with the following text message: subscribe end Questions? Please contact the workshop coordinator, Alexis Diamond, at <adiamond(a)fas.harvard.edu>

20 years, 6 months

Reminder, Applied Stats Workshop: A. Berinsky & E. Schickler, Wed@noon

by Alexis J. Diamond

20 years, 6 months

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gov3009-l October 2003