Similar Search Results

Martin, Gael M.; Frazier, David T.; Robert, Christian P. - 2022

Persistent link: https://www.econbiz.de/10013494406

Sample Selection with Binary Endogenous Variable : A Bayesian Analysis of Participation to Timber Auctions

Preget, Raphaele; Waelbroeck, Patrick - 2006

We propose a Bayesian Metropolis-Gibbs Monte Carlo Markov Chain (MCMC) algorithm to estimate parameters of a sample selection model in which the selected equation include a binary endogenous explanatory variable, using a three simultaneous equation model. We apply our methodology to...

Persistent link: https://www.econbiz.de/10014055716

On the Shape of Posterior Densities and Credible Sets in Instrumental Variable Regression Models with Reduced Rank : An Application of Flexible Sampling Methods Using Neural Networ...

Hoogerheide, Lennart F. - 2006

credible sets. When approximating such contours using Monte Carlo integration methods like importance sampling or Markov chain … numerically efficient sampling. For this purpose we introduce neural networks which seem to be natural importance or candidate …

Persistent link: https://www.econbiz.de/10012734627

The Gibbs Sampler with Particle Efficient Importance Sampling for State-Space Models

Grothe, Oliver - 2017

Monte Carlo (MC) approximation of the standard Gibbs procedure which uses sequential MC (SMC) importance sampling inside the … generic and easily implementable SMC approach known as Particle Efficient Importance Sampling (PEIS). By using SMC importance … sampling densities which are approximately fully globally adapted to the targeted density of the states, PEIS can substantially …

Persistent link: https://www.econbiz.de/10012970355

Scalable MCMC for large data problems using data subsampling and the difference estimator

Quiroz, Matias; Villani, Mattias; Kohn, Robert - 2015

observations. A key feature of our approach is the use of the highly efficient difference estimator from the survey sampling …

Persistent link: https://www.econbiz.de/10011300365

Bayesian estimation and prediction based on Rayleigh record data with applications

Abu Awwad, Raed R.; Bdair, Omar M.; Abufoudeh, Ghassan K. - In: Statistics in transition : an international journal of … 22 (2021) 3, pp. 59-79

Based on a record sample from the Rayleigh model, we consider the problem of estimating the scale and location parameters of the model and predicting the future unobserved record data. Maximum likelihood and Bayesian approaches under different loss functions are used to estimate the model's...

Persistent link: https://www.econbiz.de/10012655797

Nexus between tourism and ecological footprint in RCEP : fresh evidence from Bayesian MCMC random-effects sampling

Nguyen Ngoc Thach; Bui Hoang Ngoc - In: Cogent business & management 10 (2023) 1, pp. 1-17

In recent years, environmental protection has been a priority goal in tourism policies worldwide, including the regional comprehensive economic partnership (RCEP). This study is conducted to explore the impact of tourism, economic growth, globalization, and human capital on environmental...

Persistent link: https://www.econbiz.de/10014481216

On the practice of Bayesian inference in basic economic time series models using Gibbs sampling

Pooter, Michiel de; Segers, Rene; Dijk, Herman K. van - 2006

Several lessons learned from a Bayesian analysis of basic economic time series models by means of the Gibbs sampling …

Persistent link: https://www.econbiz.de/10011349180

Fitting a distribution to survey data for the half-life of deviations from PPP

Fisher, Mark - 2015

This note presents a nonparametric Bayesian approach to fitting a distribution to the survey data provided in Kilian and Zha (2002) regarding the prior for the half-life of deviations from purchasing power parity (PPP). A point mass at infinity is included. The unknown density is represented as...

Persistent link: https://www.econbiz.de/10011403123

Fast, approximate MCMC for Bayesian analysis of large data sets : a design based approach

Kaeding, Matthias - 2016

. The subsample is taken via the cube method, a balanced sampling design, which is defined by the property that the sample … dass dieser nicht gespeichert werden muss. Die Stichprobe wird via cube sampling, einem balanciertem Stichprobendesign …

Persistent link: https://www.econbiz.de/10011566817