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Improving Survey Estimation with Statistical Learning Techniques
Start Date: 4/10/2018Start Time: 3:30 PM
End Date: 4/10/2018End Time: 4:30 PM

Event Description
Epidemiology and Biostatistics Research Seminar Series
 
Kelly McConville, PhD
Assistant Professor
Swarthmore College 

Government agencies across the world are estimating important population quantities using data collected under a complex sample design. With the advent of big data and advancements in technology, a wealth of additional data sources, such as remotely sensed data and administrative data, are available. In this talk, Dr. McConville will discuss a class of survey estimators that seek to combine existing survey data with these new sources of data, often using statistical learning methods to do so. She will then examine the utility of these modern techniques in estimating official statistics. Dr. McConville is a survey statistician who focuses on how to use statistical learning techniques with complex survey data and has projects with the US Forest Service and the US Bureau of Labor Statistics. 
Kelly McConville
Location:
Nesbitt Hall
Room 719
Audience:
  • Everyone
    		•

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