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Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : part B

Author
Additional Author(s)
  • Jeliazkov, Ivan
  • Tobias, Justin L.
Publisher
Bingley, U.K: Emerald Group Publishing Limited, 2019
Language
English
ISBN
9781838674199
Series
Advances in econometrics Vol. 40B
Subject(s)
  • BAYESIAN STATISTICAL DECISION THEORY
  • ECONOMETRICS
Notes
  • Emerald Business Management and Economics Ebooks 2019
. .
Abstract
In honor of Dale J. Poirier, experienced editors Ivan Jeliazkov and Justin Tobias bring together a cast of expert contributors to explore the most up-to-date research on econometrics, including subjects such as panel data models, posterior simulation, and Bayesian models.
Physical Dimension
Number of Page(s)
1 online resource (xi, 253 p.)
Dimension
-
Other Desc.
-
Summary / Review / Table of Content
Prelims
A Semiparametric Stochastic Frontier Model with Correlated Effects
A Bayesian Stochastic Frontier Model with Endogenous Regressors: An Application to the Effect of Division of Labor in Japanese Water Supply Organizations
An Alternate Parameterization for Bayesian Nonparametric/Semiparametric Regression
Variable Selection in Sparse Semiparametric Single Index Models
Fully Nonparametric Bayesian Additive Regression Trees
Bayesian A/B Inference
Scalable Semiparametric Inference for the Means of Heavy-tailed Distributions
Estimation and Applications of Quantile Regression for Binary Longitudinal Data
On Quantile Estimator in Volatility Model with Non-negative Error Density and Bayesian Perspective
Flexible Bayesian Quantile Regression in Ordinal Models
A Reaction
Exemplar(s)
# Accession No. Call Number Location Status
1.00297/20330.015195 TopOnline !Available

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