Thomas Kneib

Thomas Kneib

Georg-August-Universität Göttingen

H-index: 52

Europe-Germany

About Thomas Kneib

Thomas Kneib, With an exceptional h-index of 52 and a recent h-index of 38 (since 2020), a distinguished researcher at Georg-August-Universität Göttingen, specializes in the field of semiparametric regression, statistical modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling multiplicative interaction effects in Gaussian structured additive regression models

Variational inference: uncertainty quantification in additive models

Probabilistic Topic Modelling with Transformer Representations

A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models

Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

Neural additive models for location scale and shape: A framework for interpretable neural regression beyond the mean

The nonlinear dependence of income inequality and carbon emissions: Potentials for a sustainable future

Bayesian Penalized Transformation Models: Structured Additive Location-Scale Regression for Arbitrary Conditional Distributions

Thomas Kneib Information

University

Georg-August-Universität Göttingen

Position

Chair of Statistics

Citations(all)

14665

Citations(since 2020)

7266

Cited By

10246

hIndex(all)

52

hIndex(since 2020)

38

i10Index(all)

134

i10Index(since 2020)

112

Email

University Profile Page

Georg-August-Universität Göttingen

Thomas Kneib Skills & Research Interests

semiparametric regression

statistical modelling

Top articles of Thomas Kneib

Title

Journal

Author(s)

Publication Date

Modeling multiplicative interaction effects in Gaussian structured additive regression models

Philipp Aschersleben

Julian Granna

Thomas Kneib

Stefan Lang

Nikolaus Umlauf

...

2024/1

Variational inference: uncertainty quantification in additive models

AStA Advances in Statistical Analysis

Jens Lichter

Paul FV Wiemann

Thomas Kneib

2024/4/3

Probabilistic Topic Modelling with Transformer Representations

arXiv preprint arXiv:2403.03737

Arik Reuter

Anton Thielmann

Christoph Weisser

Benjamin Säfken

Thomas Kneib

2024/3/6

A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models

Spatial Statistics

Arantxa Urdangarin

Tomás Goicoa

Thomas Kneib

María Dolores Ugarte

2024/3/1

Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

Mikis D Stasinopoulos

Thomas Kneib

Nadja Klein

Andreas Mayr

Gillian Z Heller

2024/2/29

Neural additive models for location scale and shape: A framework for interpretable neural regression beyond the mean

Anton Frederik Thielmann

René-Marcel Kruse

Thomas Kneib

Benjamin Säfken

2024/4/18

The nonlinear dependence of income inequality and carbon emissions: Potentials for a sustainable future

Ecological Economics

Franziska Dorn

Simone Maxand

Thomas Kneib

2024/2/1

Bayesian Penalized Transformation Models: Structured Additive Location-Scale Regression for Arbitrary Conditional Distributions

arXiv preprint arXiv:2404.07440

Johannes Brachem

Paul FV Wiemann

Thomas Kneib

2024/4/11

Mitigating spatial confounding by explicitly correlating Gaussian random fields

Environmetrics

Isa Marques

Thomas Kneib

Nadja Klein

2023/6

Coherence based document clustering

Anton Thielmann

Christoph Weisser

Thomas Kneib

Benjamin Säfken

2023/2/1

Rage against the mean–a review of distributional regression approaches

Thomas Kneib

Alexander Silbersdorff

Benjamin Säfken

2023/4/1

A multilevel analysis of real estate valuation using distributional and quantile regression

Statistical Modelling

Alexander Razen

Wolfgang Brunauer

Nadja Klein

Thomas Kneib

Stefan Lang

...

2023/10

A Variance Partitioning Multi-level Model for Forest Inventory Data with a Fixed Plot Design

Journal of Agricultural, Biological and Environmental Statistics

Isa Marques

Paul FV Wiemann

Thomas Kneib

2023/12

Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data

Computational statistics

Christoph Weisser

Christoph Gerloff

Anton Thielmann

Andre Python

Arik Reuter

...

2023/6

Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics

Fernando Marmolejo‐Ramos

Mauricio Tejo

Marek Brabec

Jakub Kuzilek

Srecko Joksimovic

...

2023/1

Verteilungsregression

Thomas Kneib

Elisabeth Bergherr

2023/3/31

Demystifying Spatial Confounding

arXiv preprint arXiv:2309.16861

Emiko Dupont

Isa Marques

Thomas Kneib

2023/9/28

Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data

Statistics and Computing

Anja Rappl

Thomas Kneib

Stefan Lang

Elisabeth Bergherr

2023/12

Navigating Spatial Confounding in a Bayesian Framework: Assessment, Approaches, and Practical Recommendations for Researchers

2023 IMS International Conference on Statistics and Data Science (ICSDS)

Isa Marques

Emiko Dupont

Thomas Kneib

Paul Wiemann

2023/12/18

Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses

Journal of the Royal Statistical Society Series C: Applied Statistics

Hannes Riebl

Nadja Klein

Thomas Kneib

2023/5

See List of Professors in Thomas Kneib University(Georg-August-Universität Göttingen)

Thomas Kneib FAQs

What is Thomas Kneib's h-index at Georg-August-Universität Göttingen?

The h-index of Thomas Kneib has been 38 since 2020 and 52 in total.

What are Thomas Kneib's top articles?

The articles with the titles of

Modeling multiplicative interaction effects in Gaussian structured additive regression models

Variational inference: uncertainty quantification in additive models

Probabilistic Topic Modelling with Transformer Representations

A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models

Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

Neural additive models for location scale and shape: A framework for interpretable neural regression beyond the mean

The nonlinear dependence of income inequality and carbon emissions: Potentials for a sustainable future

Bayesian Penalized Transformation Models: Structured Additive Location-Scale Regression for Arbitrary Conditional Distributions

...

are the top articles of Thomas Kneib at Georg-August-Universität Göttingen.

What are Thomas Kneib's research interests?

The research interests of Thomas Kneib are: semiparametric regression, statistical modelling

What is Thomas Kneib's total number of citations?

Thomas Kneib has 14,665 citations in total.