Manfred M. Fischer

Professor Emeritus

WU Vienna University of Economics and Business

Austria

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Manfred M. Fischer is a Professor Emeritus at the Vienna University of Economics and Business in Austria. His research areas include spatial regression graph convolutional neural networks, Bayesian time-varying parameter models for predicting government bond yields, and the impact of sociodemographic factors on opioid mortality in the US. He has been recognized for his work with two JGS Best Paper Awards for volumes 26(1) and 27(1).

Articles (15)

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2025

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2023

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2021

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2020

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2020

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2020

Collaborators (3)

Di Zhu

Assistant Professor

University of Minnesota

UNITED STATES

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Michael Pfarrhofer

Assistant Professor

WU Vienna University of Economics and Business

AUSTRIA

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Niko Hauzenberger

University Of Strathclyde

UNITED KINGDOM

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Manfred M. Fischer

Research Interests

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Articles (15)

2024 <i>JGS</i> Best Paper Award and the Editors' Choice Paper Volume 27(1)

2023 <i>JGS</i> best paper award and the editors' choice paper volume 26(1)

General Bayesian time-varying parameter vector autoregressions for modeling government bond yields

General Bayesian time-varying parameter vector autoregressions for modeling government bond yields

Opioid Mortality in the US: Quantifying the direct and indirect impact of sociodemographic and socioeconomic factors

2021 JGS best paper award and the editors' choice paper volume 24(1)

In memoriam: Professor Arthur Getis (July 6, 1934-May 13, 2022)

Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions

Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions (Nov, 10.1007/s10707-021-00454-x, 2021)

Spray Pattern and Plume Geometry Testing and Methodology: An IPAC-RS Working Group Overview

Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions

2020 JGS Best Paper Award and the Editors' Choice Paper Volume 23(1)

Cross-sectional dependence model specifications in a static trade panel data setting

Handbook of Regional Science

Network dependence in multi-indexed data on international trade flows

Collaborators (3)

Di Zhu

Michael Pfarrhofer

Niko Hauzenberger

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