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Brian Kriegler

University of California, Los Angeles

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arXiv: Applications | 2008

Counting the Homeless in Los Angeles County

Richard A. Berk; Brian Kriegler; Donald Ylvisaker

Over the past two decades, a variety of methods have been used to count the homeless in large metropolitan areas. In this paper, we report on a recent eort to count the homeless in Los Angeles County, one that employed the sampling of census tracts. A number of compli- cations are discussed, including the need to impute homeless counts to areas ofthe Countynot sampled. We conclude that, despite their im- perfections, estimated counts provided useful and credible information to the stakeholders involved.

Journal of Quantitative Criminology | 2006

Forecasting Dangerous Inmate Misconduct: An Application of Ensemble Statistical Procedures

Richard A. Berk; Brian Kriegler; Jong-Ho Baek

The Annals of Applied Statistics | 2010

Small Area Estimation of the Homeless in Los Angeles: An Application of Cost-Sensitive Stochastic Gradient Boosting

Brian Kriegler; Richard A. Berk

Archive | 2007

Boosting the Quantile Distribution: A Cost-Sensitive Statistical Learning Procedure

Brian Kriegler; Richard A. Berk

Department of Statistics, UCLA | 2007

Estimating the Homeless Population in Los Angeles: An Application of Cost-Sensitive Stochastic Gradient Boosting

Brian Kriegler; Richard A. Berk

Archive | 2007

Cost-sensitive stochastic gradient boosting within a quantitative regression framework

Richard A. Berk; Brian Kriegler

Department of Statistics, UCLA | 2011

Small Area Estimation of the Homeless in Los Angeles: An Application of Cost-Sensitive stochastic Gradient Boosting

Brian Kriegler; Richard A. Berk

Archive | 2010

SMALL AREA ESTIMATION OF THE HOMELESS IN LOS ANGELES: AN APPLICATION OF COST-SENSITIVE

Brian Kriegler; Richard A. Berk

Archive | 2007

Estimating the Homeless Population in Los Angeles: An Application of Cost-Sensitive Stochastic Gradient Boosting - eScholarship

Brian Kriegler; Richard A. Berk

Department of Statistics, UCLA | 2005

Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures

Richard A. Berk; Brian Kriegler; Jong-Ho Baek

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Richard A. Berk

University of Pennsylvania

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Jong-Ho Baek

University of California

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