Results 11 to 20 of about 63,609 (288)
Hospital Emergency Room Savings via Health Line S24 in Portugal
Econometrics, 2021 Hospital emergency departments are often overused by patients that do not really need urgent care. These admissions are one of the major factors contributing to hospital costs, which should not be allowed to compromise the response and effectiveness of ...
Paula Simões +2 more
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Robust Bayesian Analysis for Econometrics
, 2021 We review the literature on robust Bayesian analysis as a tool for global sensitivity analysis and for statistical decision-making under ambiguity. We discuss the methods proposed in the literature, including the different ways of constructing the set of priors that are the key input of the robust Bayesian analysis.
Giacomini, Raffaella +2 more
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Universality of Bayesian Predictions [PDF]
, 2007 Given the sequential update nature of Bayes rule, Bayesian methods find natural application to prediction problems. Advances in computational methods allow to routinely use Bayesian methods in econometrics.
Sancetta, Alessio
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Bayesian Model Averaging and Jointness Measures for gretl
Journal of Statistical Software, 2015 This paper presents a software package that implements Bayesian model averaging for gretl, the GNU regression, econometrics and time-series library.
Marcin Błażejowski, Jacek Kwiatkowski
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Market Structure and Competition in the Indian Microfinance Sector
Vikalpa, 2019 Executive Summary The Indian microfinance sector has experienced fundamental changes in the structure of ownership and management of microfinance institutions (MFIs).
Nitin Navin, Pankaj Sinha
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From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM)
Frontiers in Psychology, 2021 This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities (i.e., priors) in addition to observed data.
Michael J. Zyphur +11 more
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Spatial Econometric Models: A Bayesian Approach
Revista Colombiana de Estadística, 2022 In this paper we propose Bayesian methods to fit econometric regression models, including those where the variability is assumed to follow a regression structure. We formulate the main functions of the statistical R-package BSPADATA, developed according to the proposed methods to obtain posteriori parameter inferences. After that, we include results of
Cepeda-Cuervo, Edilberto +1 more
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The Bayesian Modelling Of Inflation Rate In Romania [PDF]
Revista Română de Statistică, 2014 Bayesian econometrics knew a considerable increase in popularity in the last years, joining the interests of various groups of researchers in economic sciences and additional ones as specialists in econometrics, commerce, industry, marketing, finance ...
Mihaela Simionescu (Bratu)
doaj
Estimation and Properties of a Time-Varying GQARCH(1,1)-M Model
Journal of Probability and Statistics, 2011 Time-varying GARCH-M models are commonly used in econometrics and financial economics. Yet the recursive nature of the conditional variance makes exact likelihood analysis of these models computationally infeasible.
Sofia Anyfantaki, Antonis Demos
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A Time-Varying Bayesian Compressed Vector Autoregression for Macroeconomic Forecasting
IEEE Access, 2020 This paper presents macroeconomic forecasting by using a time-varying Bayesian compressed vector autoregression approach. We apply a random compression by using projection matrix to randomly select predictive variables in vector autoregression (VAR), and
Nattapol Aunsri +1 more
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