|
Activity Number:
|
54
- Record Linkage, Data Integration, and Improving Survey Measurement
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, August 8, 2021 : 3:30 PM to 5:20 PM
|
|
Sponsor:
|
Survey Research Methods Section
|
|
Abstract #317982
|
|
|
Title:
|
Bayesian Inference for Nonprobability Samples
|
|
Author(s):
|
Lyric Liu* and Nandram Balgobin
|
|
Companies:
|
Worcester Polytechnic Institute and Worcester Polytechnic Insttute
|
|
Keywords:
|
Non-probability Samples;
Regression ;
Bayesian Statistics ;
Data Integration ;
Grid Method
|
|
Abstract:
|
Big Data often presents as massive non-probability samples (nps). Unlike the probability samples (ps), there are no selection probabilities or weights in the nps. Integrating ps and nps is becoming a very important topic. We will illustrate a model to meet this purpose.
|
Authors who are presenting talks have a * after their name.
