Head of the Regional Analysis and Statistics Unit, OECD Directorate for Public Governance and Territorial Development
Monica Brezzi is Head of the Regional Analysis and Statistics Unit in the OECD Directorate for Public Governance and Territorial Development. Her current activities focus on the analysis of regional comparative advantages and the assessment of policies to reduce inequalities in the access to key services for citizens. She has recently contributed to design a web mapping tool to help decision makers and citizens develop a better knowledge of their society using statistical information. Before joining OECD, she worked for the Ministry of Economic Development in Italy where she contributed to design and launch a performance-based policy to measure the efficiency of local public services.
Miers Busch Professor of Statistics
Areas of Interest
Lawrence Brown is the Miers Busch Professor of Statistics in the Department of Statistics at The Wharton School. His research areas include statistical decision theory, statistical inference, nonparametric function estimation, foundations of statistics, sampling theory, and empirical queuing science.
Brown, Lawrence D., National Research Council (U.S.) Panel on the Design of the 2010 Census Program of Evaluations and Experiments. 2010. Envisioning the 2020 Census. Washington, DC: National Academies Press.
Brown, L. D., T. J. Plewes, and M. A. Gerstein. 2005. Measuring Research and Development in the United States Economy. Washington, DC: National Academies Press.
Brown, L. D., N. Gans, A. Mandelbaum, A. Sakov, H. Shen, S. Zeltyn, and L. H. Zhao. 2005. “Statistical Analysis of a Telephone Call Center: a Queuing Science Perspective.” Journal of American Statistical Association 100.
Brown, L. D., T. T. Cai, and A. DasGupta. 1999. “Interval Estimation for a Binomial Proportion.” Statistical Science 16.
Brown, L. D. and M. G. Low. 1996. “Asymptotic Equivalence of Nonparametric Regression and White Noise.” Annals of Statistics 24.
Universal Furniture Professor of Statistics
Areas of Interest
Edward George is Universal Furniture Professor of Statistics at The Wharton School. His research interests include hierarchical modeling, model uncertainty, shrinkage estimation, treed modeling, variable selection, and wavelet regression. He is a member of a number of professional organizations, including American Statistical Association (Elected Fellow), Bernoulli Society, Institute of Mathematical Statistics (Elected Fellow), Royal Statistical Society (Fellow), International Statistical Institute (Elected Member), International Society for Bayesian Analysis, Japanese Association of Financial Econometrics and Engineering American Statistical Association (Elected Fellow), Bernoulli Society, Institute of Mathematical Statistics (Elected Fellow), Royal Statistical Society (Fellow), International Statistical Institute (Elected Member), International Society for Bayesian Analysis, and the Japanese Association of Financial Econometrics and Engineering.
Ročková, Veronika and Edward I. George. 2016. “The Spike-and-Slab LASSO.” Journal of the American Statistical Association, December.
Ročková, Veronika and Edward I. George. 2016. “Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity.” Journal of the American Statistical Association 111(516).
Ročková, Veronika and Edward I. George. 2014. “EMVS: The EM Approach to Bayesian Variable Selection.” Journal of the American Statistical Association 109(506): 828-846.
Andrew F. Haughwout
Senior Vice President and Function Head, Microeconomic Studies Function, Federal Reserve Bank of New York
Andy F. Haughwout is a Senior Vice President and Function Head of the Microeconomic Studies Function at the Federal Reserve Bank of New York. He is the Group’s Senior Administrative Officer and a co-editor of the Liberty Street Economics blog. In addition to his duties at the Bank, he serves on a Transportation Research Board panel investigating the value of transportation spending as economic stimulus. He is a past Chair of the North American Regional Science Council and the Federal Reserve System Committee on Regional Analysis and serves on the Advisory Board of the Journal of Regional Science. Prior to joining the New York Fed, Haughwout served as Assistant Professor at Princeton University.
Professor of Systems Engineering and Regional Science
Areas of Interest
Tony Smith is Professor of Systems Engineering and Regional Science, Department of Electrical and Systems Engineering. His primary area of research is in the theory and application of probabilistic models to spatial interaction behavior. Specific interests focus on structural analysis and axiomatic foundations of such models. Related areas of interest are in probabilistic theories of choice behavior, spatial statistical analysis and GIS. A secondary area of research is in transportation and land use modeling.
Hillier, Amy, Tony Smith, Eliza D. Whiteman, and Benjamin W. Chrisinger. 2017. “Discrete Choice Model of Food Store Trips Using National Household Food Acquisition and Purchase Survey (FoodAPS).” International Journal of Environmental Research and Public Health 14(10).
Buzarda, Kristy, Gerald A. Carlino, Robert M. Hunt, Jake K. Carr, and Tony E. Smith. 2017. “The Agglomeration of American R&D Labs.” Journal of Urban Economics 101: 14-26.
Dearmon, Jacob and Tony Smith. 2017. “Local Marginal Analysis of Spatial Data: A Gaussian Process Regression Approach with Bayesian Model and Kernel Averaging.” Spatial Econometrics 37: 297-342.
Dearmon, Jacob and Tony Smith. 2016. “Gaussian Process Regression and Bayesian Model Averaging: An alternative approach to modeling spatial phenomena.” Geographical Analysis 48: 82-111.
Grandner, Michael A., Tony E. Smith, Nicholas Jackson, Tara Jackson, Sarah Burgard, and Charles Branas. 2015. “Geographic Distribution of Insufficient Sleep across the US: A County-Level Hotspot Analysis.” Sleep Health 1(3): 158-165.
Doctoral Candidate, Education Policy, Graduate School of Education
Kailey Spencer is a PhD candidate in education policy at the University of Pennsylvania, Graduate School of Education. She has broad research interests which span policies and practices that impact public education. Her dissertation research examines student mobility in public schools, with a particular focus on comparing student mobility in traditional public and charter schools. Prior to enrolling at UPenn, Kailey received her BA from Hunter College, of the City University of New York, with concentrations in Social Research in Education and Applied Statistics.