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Data analysis / Parametric statistics / Design of experiments / Probit / Nonparametric regression / Multivariate adaptive regression splines / Linear regression / Forecasting / Logistic regression / Statistics / Regression analysis / Econometrics


FEDERAL RESERVE BANK OF ST. LOUIS Forecasting Recessions: Can We Do Better on MARS(TM)? Peter Sephton
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Document Date: 2013-07-26 03:41:17

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City

New York / ST. LOUIS / /

Company

Oxford University Press / St. Louis Review / Salford Systems / /

Country

United States / /

Facility

University of New Brunswick / Stanford University / University of California / /

IndustryTerm

data-mining procedure / neural network / forward search strategy / stepwise search / /

MarketIndex

S&P 500 / /

Organization

Laboratory for Computational Statistics Technical Report / American Statistical Association / Stanford University / National Bureau of Economic Research / FEDERAL RESERVE BANK / Oxford University / Bank of Canada / Conference Board / University of California / San Diego / Research Department / University of New Brunswick / /

Person

Dan Thornton / Lewis / Richard Anderson / Liangyue / Michael Dueker / Hallman / Stevens / Rachel Mandal / Peter Sephton / Bob Rasche / /

Position

author / professor of economics / MARS model for velocity appear here / Cao / Rt / researcher / Porter / /

ProvinceOrState

New Brunswick / California / /

PublishedMedium

Journal of the American Statistical Association / Review of Economics and Statistics / /

SportsLeague

Stanford University / /

Technology

neural network / MARS algorithm / /

URL

http /

SocialTag