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82“...This paper proposes a mean field variational Bayes algorithm for efficient posterior and predictive inference in time-varying parameter models. Our approach...”
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83by Korobilis, Dimitris“...Bayesian model averaging (BMA) methods are regularly used to deal with model uncertainty in regression models. This paper shows how to introduce Bayesian model...”
01.04.2015
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84by Korobilis, Dimitris“...There is a vast literature that specifies Bayesian shrinkage priors for vector autoregressions (VARs) of possibly large dimensions. In this paper I argue that...”
01.04.2015
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85by Korobilis, Dimitris“...Bayesian model averaging (BMA) methods are regularly used to deal with model uncertainty in regression models. This paper shows how to introduce Bayesian model...”
01.04.2015
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86by Korobilis, Dimitris“...Bayesian shrinkage priors have been very popular in estimating vector autoregressions (VARs) of possibly large dimensions. Many of these priors are not...”
01.04.2015
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87
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90
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91“...In a unified framework, we examine four sources of uncertainty in exchange rate forecasting models: (i) random variations in the data, (ii) estimation...”
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92by Korobilis, Dimitris“...This paper proposes full-Bayes priors for time-varying parameter vector autoregressions (TVP-VARs) which are more robust and objective than existing choices...”
01.01.2014
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94“...An expanding literature articulates the view that Taylor rules are helpful in predicting exchange rates. In a changing world, however, Taylor rule parameters...”
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95
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96
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97“...Review of Economics and Statistics: Forthcoming...”
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98
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99
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100