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

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Unknown Jeliazkov, Ivan Emerald Group Publishing Limited (Bingley, U.K, 2019) (eng) English 9781838674199 Advances in econometrics Unknown ECONOMETRICS; Emerald Business Management and Economics Ebooks 2019; 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.

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1 online resource (xi, 253 p.) Unknown Unknown

Summary / review / table of contents

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


Copies
Access no. Call number Location Status
00297/20 330.015195 Top Online Available