86 citations · 156 across the 36 of their papers we have counts for
7 papers · 1 filter
Bayesian Forecasting in Economics and Finance: A Modern Review
Gael M. Martin, David T. Frazier, Worapree Maneesoonthorn +6
The Bayesian statistical paradigm provides a principled and coherent approach to probabilistic forecasting. Uncertainty about all unknowns that characterize any forecasting problem…
Bayesian Neural Networks for Macroeconomic Analysis
Niko Hauzenberger, Florian Huber, Karin Klieber +1
Macroeconomic data is characterized by a limited number of observations (small T), many time series (big K) but also by featuring temporal dependence. Neural networks, by contrast,…
Bayesian Modeling of TVP-VARs Using Regression Trees
Niko Hauzenberger, Florian Huber, Gary Koop +1
In light of widespread evidence of parameter instability in macroeconomic models, many time-varying parameter (TVP) models have been proposed. This paper proposes a nonparametric T…
Forecasting euro area inflation using a huge panel of survey expectations
Florian Huber, Luca Onorante, Michael Pfarrhofer
In this paper, we forecast euro area inflation and its main components using an econometric model which exploits a massive number of time series on survey expectations for the Euro…
Forecasting US Inflation Using Bayesian Nonparametric Models
Todd E. Clark, Florian Huber, Gary Koop +1
The relationship between inflation and predictors such as unemployment is potentially nonlinear with a strength that varies over time, and prediction errors error may be subject to…
Measuring Shocks to Central Bank Independence using Legal Rulings
Stefan Griller, Florian Huber, Michael Pfarrhofer
We investigate the consequences of legal rulings on the conduct of monetary policy. Several unconventional monetary policy measures of the European Central Bank have come under scr…
Global martingale solutions for stochastic Shigesada-Kawasaki-Teramoto population models
Marcel Braukhoff, Florian Huber, Ansgar Jüngel
The existence of global nonnegative martingale solutions to cross-diffusion systems of Shigesada-Kawasaki-Teramoto type with multiplicative noise is proven. The model describes the…