Ludwig Fahrmeir

Statistics and Probability · 2001–2013

A researcher in the Science corpus: 13 papers; trusts 45 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 94 citations into it; #581 of 12,932 by trust here, #1,069 by citations
• Artificial Intelligence — 37 citations into it; #2,979 of 35,345 by trust here, #9,275 by citations
• Environmental Engineering — 14 citations into it; #674 of 5,479 by trust here, #1,975 by citations
• Economics and Econometrics — 12 citations into it; #2,466 of 23,481 by trust here, #7,584 by citations
• Applied Mathematics — 11 citations into it
• Management Science and Operations Research — 11 citations into it

Whom Ludwig Fahrmeir trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stefan Lang
2. Andreas Brezger
3. Eric R. Ziegel
4. Håvard Rue
5. Dani Gamerman
6. C. Biller
7. Thomas Kneib
8. David Ruppert
9. Dongchu Sun
10. Matt P. Wand

Who trusts Ludwig Fahrmeir overall

1. Thomas Kneib
2. Andreas Brezger
3. N. Klein
4. Simon N. Wood
5. Stefan Lang
6. Andrea Hennerfeind
7. M. José Lombardía
8. C. Biller
9. Giampiero Marra
10. Sebastian Tröeng

Papers from Ludwig Fahrmeir's perspective

Ordered by how strongly the researchers Ludwig Fahrmeir trusts endorse each paper. Same corpus, a different order for every researcher.

1. Generalized Linear Models
2. Bayesian measures of model complexity and fit
3. A Practical Guide to Splines
4. Direct generalized additive modeling with penalized likelihood
5. Bayesian inference for generalized additive mixed models based on Markov random field priors
6. Regression Shrinkage and Selection via the Lasso
7. Hierarchical Modeling and Analysis for Spatial Data
8. Spatial Interaction and the Statistical Analysis of Lattice Systems
9. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
10. Conservative prior distributions for variance parameters in hierarchical models

Their papers

• Bayesian inference for generalized additive mixed models based on Markov random field priors (2001) — 553 citations
• Some asymptotic results on generalized penalized spline smoothing (2009) — 163 citations
• Bayesian varying-coefficient models using adaptive regression splines (2001) — 54 citations
• Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data (2001) — 153 citations
• A Mixed Model Approach for Geoadditive Hazard Regression (2007) — 133 citations
• Propriety of posteriors in structured additive regression models: Theory and empirical evidence (2009) — 47 citations
• Regression: Models, Methods and Applications (2013) — 663 citations
• Structured Additive Regression for Categorical Space–Time Data: A Mixed Model Approach (2006) — 86 citations
• High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance (2011) — 46 citations
• A Bayesian Semiparametric Latent Variable Model for Mixed Responses (2007) — 84 citations
• Geoadditive Survival Models (2006) — 146 citations
• Structured additive regression for overdispersed and zero‐inflated count data (2006) — 50 citations
• PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE (2004) — 424 citations