World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
10403
World Ranking
1446
National Ranking
81

Overview

Ludwig Fahrmeir is affiliated with Ludwig-Maximilians-Universität München in Germany. Their research spans several fields, including Mathematics, Economics, Econometrics and Finance, and Computer Science. The subfields of their work include Statistics and Probability, Economics and Econometrics, and Artificial Intelligence.

The scientist's recent publications focus on statistical methods and their applications. A notable paper is titled Spatial smoothing revisited: An application to rental data in Munich, published in 2023 in the journal Statistical Modelling. This publication reflects their interest in spatial and panel data analysis, as well as housing market and economic topics.

Their research addresses a range of topics including:

  • Statistical Methods and Inference
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Bayesian Inference
  • Spatial and Panel Data Analysis
  • Housing Market and Economics

Frequent collaborators have included:

  • Göran Kauermann
  • Gerhard Tutz
  • Michael Windmann

Publications by Ludwig Fahrmeir have appeared predominantly in the venue:

  • Statistical Modelling

Their work often integrates advanced statistical methodologies, Bayesian inference techniques, and applied economics. This interdisciplinary approach spans theoretical development and practical application in econometrics and statistics.

Best Publications

  • Multivariate Statistical Modelling Based on Generalized Linear Models

    Ludwig Fahrmeir;Gerhard Tutz

  • Multivariate statistische Verfahren

    Ludwig ¬ Fahrmeir;Hans Wolfgang Brachinger

  • Correction: Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in Generalized Linear Models

    Ludwig Fahrmeir;Heinz Kaufmann

  • Bayesian inference for generalized additive mixed models based on Markov random field priors

    Ludwig Fahrmeir;Stefan Lang

  • Regression: Models, Methods and Applications

    Ludwig Fahrmeir;Thomas Kneib;Stefan Lang;Brian Marx

  • PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE

    Ludwig Fahrmeir;Thomas Kneib;Stefan Lang

  • Posterior Mode Estimation by Extended Kalman Filtering for Multivariate Dynamic Generalized Linear Models

    Ludwig Fahrmeir

  • Regression - Modelle, Methoden und Anwendungen

    Ludwig Fahrmeir;Thomas Kneib;Stefan Lang

  • Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging

    Michael S Smith;Ludwig Fahrmeir

  • Some asymptotic results on generalized penalized spline smoothing

    Göran Kauermann;Tatyana Krivobokova;Ludwig Fahrmeir

  • Geoadditive Survival Models

    Andrea Hennerfeind;Andreas Brezger;Ludwig Fahrmeir

  • Bayesian spatiotemporal inference in functional magnetic resonance imaging.

    Christoff Gössl;Dorothee P. Auer;Ludwig Fahrmeir

  • Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data

    Ludwig Fahrmeir;Thomas Kneib

  • Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data

    Ludwig Fahrmeir;Stefan Lang

  • A Mixed Model Approach for Geoadditive Hazard Regression

    Thomas Kneib;Ludwig Fahrmeir

  • Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models

    Fabian Scheipl;Ludwig Fahrmeir;Thomas Kneib

  • Structured additive regression for categorical space-time data: a mixed model approach.

    Thomas Kneib;Ludwig Fahrmeir

  • Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection

    Ludwig Fahrmeir;Thomas Kneib;Susanne Konrath

  • Dynamic Stochastic Models for Time-Dependent Ordered Paired Comparison Systems

    Ludwig Fahrmeir;Gerhard Tutz

  • Bayesian Modeling of the Hemodynamic Response Function in BOLD fMRI

    C. Gössl;Ludwig Fahrmeir;Dorothee P. Auer

  • Inference of demographic history from genealogical trees using reversible jump Markov chain Monte Carlo

    Rainer Opgen-Rhein;Ludwig Fahrmeir;Korbinian Strimmer

Frequent Co-Authors

Thomas Kneib
Thomas Kneib University of Göttingen
Stefan Lang
Stefan Lang University of Innsbruck
Gerhard Tutz
Gerhard Tutz Ludwig-Maximilians-Universität München
Dorothee P. Auer
Dorothee P. Auer University of Nottingham
Philipp G. Sämann
Philipp G. Sämann Max Planck Society
Stephan Klasen
Stephan Klasen University of Göttingen
Christian Gieger
Christian Gieger Helmholtz Zentrum München
Michael Czisch
Michael Czisch Max Planck Society
Thomas Cremer
Thomas Cremer Ludwig-Maximilians-Universität München
Brian Francis
Brian Francis Lancaster University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can open diverse career opportunities. Many professionals pivot to advanced programs like a dba programs online to deepen their expertise in business analytics and strategic decision-making, which complements strong quantitative skills.

If you're interested in finance, pursuing the cheapest online masters in finance offers an affordable way to advance your knowledge of financial modeling, risk management, and investment analysis, all areas that leverage mathematical foundations.

For those aiming for leadership roles, enrolling in one of the fastest mba online programs can accelerate your career progression while building crucial skills in management, strategy, and operations.

Marketing professionals with a quantitative background may benefit from a master's degree in marketing, which combines data analysis with consumer behavior insights, creating strong potential for roles in digital marketing and market analytics.

Best Scientists Citing Ludwig Fahrmeir

Trending Scientists

Recently Published Articles