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41
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42
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43“...This paper develops methods for estimating and forecasting in Bayesian panel vector autoregressions of large dimensions with time‐varying parameters and...”
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44“...This paper proposes a simulation-free estimation algorithm for vector autoregressions (VARs) that allows fast approximate calculation of marginal parameter...”
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45by Korobilis, Dimitris“...Bayesian shrinkage priors have been very popular in estimating vector autoregressions (VARs) of possibly large dimensions. Many of these priors are not...”
01.09.2016
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46
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47
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48
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50
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53“...This paper proposes a variational Bayes algorithm for computationally efficient posterior and predictive inference in time-varying parameter (TVP) models...”
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54by Korobilis, Dimitris“...This paper proposes two distinct contributions to econometric analysis of large information sets and structural instabilities. First, it treats a regression...”
15.09.2019
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55
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56
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57by Korobilis, Dimitris“...This article proposes two distinct contributions to econometric analysis of large information sets and structural instabilities. First, it treats a regression...”
01.01.2019
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58“...This paper evaluates alternative indicators of global economic activity and other market fundamentals in terms of their usefulness for forecasting real oil...”
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59
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60by Korobilis, Dimitris“...We estimate a large Bayesian time-varying parameter vector autoregressive (TVP-VAR) model of daily stock return volatilities for 35 U.S. and European financial...”
2018