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ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Read more

ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Read more

ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Read more

ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Read more

ICPSR — Bayesian Multi-Level Modeling (VIRTUAL)

219 Davis Library 208 Raleigh Street, Chapel Hill, NC, United States

This workshop introduces the Bayesian multilevel model framework. Bayesian methods allow for an extremely flexible approach for estimating hierarchical models with a variety different types of dependent variables. The Bayesian approach simplifies several of the assumptions of the classical techniques … Read more