69626 documents matched the search for Thomas Kneib in authors.
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Mixed model-based inference in geoadditive hazard regression for interval-censored survival times, Thomas Kneib,
in Computational Statistics & Data Analysis
(2006)
Comment, Thomas Kneib,
in Journal of the American Statistical Association
(2016)
Comments on: Inference and computation with Generalized Additive Models and their extensions, Thomas Kneib,
in TEST: An Official Journal of the Spanish Society of Statistics and Operations Research
(2020)
Introduction to the Special Volume on "Ecology and Ecological Modeling in R", Thomas Kneib and Thomas Petzoldt,
in Journal of Statistical Software
(2007)
Tobit regression to estimate impact of EU market intervention in dairy sector, Meike Wocken and Thomas Kneib,
from European Association of Agricultural Economists
(2012)
Keywords: Agricultural and Food Policy, Risk and Uncertainty
Multivariate distributional stochastic frontier models, Rouven Schmidt and Thomas Kneib,
in Computational Statistics & Data Analysis
(2023)
Keywords: Distributional regression; Multiple outputs; Penalized maximum likelihood; Inefficiency; Copula; Semiparametric;
Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior, Fabian Scheipl and Thomas Kneib,
in Computational Statistics & Data Analysis
(2009)
Geoadditive expectile regression, Fabian Sobotka and Thomas Kneib,
in Computational Statistics & Data Analysis
(2012)
Keywords: Boosting; Expectiles; Least asymmetric weighted squares; Markov random fields; Quantiles; P-splines; Tensor product splines;
Structural Equation Models for Dealing With Spatial Confounding, Hauke Thaden and Thomas Kneib,
in The American Statistician
(2018)
A Mixed Model Approach for Geoadditive Hazard Regression, Thomas Kneib and Ludwig Fahrmeir,
in Scandinavian Journal of Statistics
(2007)
Conditional covariance penalties for mixed models, Benjamin Säfken and Thomas Kneib,
in Scandinavian Journal of Statistics
(2020)
Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin, Isa Marques and Thomas Kneib,
in Biometrics
(2022)
Structured Additive Regression for Categorical Space–Time Data: A Mixed Model Approach, Thomas Kneib and Ludwig Fahrmeir,
in Biometrics
(2006)
Bayesian geoadditive sample selection models, Manuel Wiesenfarth and Thomas Kneib,
in Journal of the Royal Statistical Society Series C
(2010)
On the behaviour of marginal and conditional AIC in linear mixed models, Sonja Greven and Thomas Kneib,
in Biometrika
(2010)
Smooth-Transition Regression Models for Non-Stationary Extremes, Julien Hambuckers and Thomas Kneib,
in Journal of Financial Econometrics
(2023)
Keywords: extreme value theory, generalized Pareto distribution, operational risk, VIX
Boosting multi-state models, Holger Reulen and Thomas Kneib,
in Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data
(2016)
Keywords: Multi-state models, Boosting, Variable selection, Model choice, Cross-transition-type effects, Non-linear effects
A penalized spline estimator for fixed effects panel data models, Peter Pütz and Thomas Kneib,
in AStA Advances in Statistical Analysis
(2018)
Keywords: First-difference estimator, Life satisfaction, Panel data, Penalized splines, Simultaneous confidence bands
Directional bivariate quantiles: a robust approach based on the cumulative distribution function, Nadja Klein and Thomas Kneib,
in AStA Advances in Statistical Analysis
(2020)
Keywords: Direction-specific quantiles, Inverse cumulative distribution function, Linear programming, Quantile curves, Robustness
Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data, Ludwig Fahrmeir and Thomas Kneib,
from Oxford University Press
(2011)
A Penalized Spline Estimator for Fixed Effects Panel Data Models, Peter Pütz and Thomas Kneib,
from DIW Berlin, The German Socio-Economic Panel (SOEP)
(2016)
Keywords: First-difference estimator, life satisfaction, panel data, penalized splines, simultaneous confidence bands
A Primer on Bayesian Distributional Regression, Thomas Kneib and Nikolaus Umlauf,
from Faculty of Economics and Statistics, Universität Innsbruck
(2017)
Keywords: Distributional regression, generalized additive models for location, scale and shape, Markov chain Monte Carlo simulations, semiparametric regression, tutorial
Mitigating spatial confounding by explicitly correlating Gaussian random fields, Isa Marques, Thomas Kneib and Nadja Klein,
in Environmetrics
(2023)
Treatment effects beyond the mean using distributional regression: Methods and guidance, Maike Hohberg, Peter Pütz and Thomas Kneib,
in PLOS ONE
(2020)
A Semiparametric Analysis of Conditional Income Distributions, Alexander Sohn, Nadja Klein and Thomas Kneib,
in Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften
(2015)
Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales, Nadja Klein, Helmut Herwartz and Thomas Kneib,
in Journal of Econometrics
(2020)
Keywords: Bayesian regularization; Distributional regression; Farm efficiency; Markov chain Monte Carlo; Regional and spatial modelling; Unobserved heterogeneity;
Multivariate effect priors in bivariate semiparametric recursive Gaussian models, Hauke Thaden, Nadja Klein and Thomas Kneib,
in Computational Statistics & Data Analysis
(2019)
Keywords: Correlated effects; Multivariate conditional autoregressive prior; Penalized splines; Recursive models; Semiparametric regression; Simultaneous equation model;
BayesX: Analyzing Bayesian Structural Additive Regression Models, Andreas Brezger, Thomas Kneib and Stefan Lang,
in Journal of Statistical Software
(2005)
Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression, Nora Fenske, Thomas Kneib and Torsten Hothorn,
in Journal of the American Statistical Association
(2011)
Understanding the economic determinants of the severity of operational losses: A regularized generalized Pareto regression approach, Julien Hambuckers, Andreas Groll and Thomas Kneib,
in Journal of Applied Econometrics
(2018)
Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data, Nadja Klein, Thomas Kneib and Stefan Lang,
in Journal of the American Statistical Association
(2015)
Bayesian Conditional Transformation Models, Manuel Carlan, Thomas Kneib and Nadja Klein,
in Journal of the American Statistical Association
(2024)
Gradient boosting in Markov-switching generalized additive models for location, scale, and shape, Timo Adam, Andreas Mayr and Thomas Kneib,
in Econometrics and Statistics
(2022)
Keywords: Dependent mixture models; Distributional regression; EM algorithm; Hidden Markov models; Time series modeling;
Simultaneous Confidence Bands for Penalized Spline Estimators, Tatyana Krivobokova, Thomas Kneib and Gerda Claeskens,
in Journal of the American Statistical Association
(2010)
The nonlinear dependence of income inequality and carbon emissions: Potentials for a sustainable future, Franziska Dorn, Simone Maxand and Thomas Kneib,
in Ecological Economics
(2024)
Keywords: Bivariate distributional copula model; Income inequality; Carbon emission; Social sustainability; Ecological sustainability;
Rage Against the Mean – A Review of Distributional Regression Approaches, Thomas Kneib, Alexander Silbersdorff and Benjamin Säfken,
in Econometrics and Statistics
(2023)
Keywords: Conditional transformation models; Density regression; Distribution regression; Expectile regression; Generalized additive models for location; Scale and shape; Quantile regression;
Variable Selection and Model Choice in Geoadditive Regression Models, Thomas Kneib, Torsten Hothorn and Gerhard Tutz,
in Biometrics
(2009)
Conditional transformation models, Torsten Hothorn, Thomas Kneib and Peter Bühlmann,
in Journal of the Royal Statistical Society Series B
(2014)
High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance, Thomas Kneib, Susanne Konrath and Ludwig Fahrmeir,
in Journal of the Royal Statistical Society Series C
(2011)
What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity, Janna Axenbeck, Anne Berner and Thomas Kneib,
from ZEW - Leibniz Centre for European Economic Research
(2022)
Keywords: digital technologies, energy use, manufacturing, machine learning
The dependence between income inequality and carbon emissions: A distributional copula analysis, Franziska Dorn, Simone Maxand and Thomas Kneib,
from University of Goettingen, Department of Economics
(2021)
Keywords: Bivariate distributional copula model, income inequality, carbon emission, social sustainability, ecological sustainability
A new semiparametric approach to analysing conditional income distributions, Alexander Sohn, Nadja Klein and Thomas Kneib,
from University of Goettingen, Department of Economics
(2014)
A new semiparamtetric approach to analysing Conditional Income Distributions, Alexander Sohn, Nadja Klein and Thomas Kneib,
from Verein für Socialpolitik / German Economic Association
(2014)
Mitigating spatial confounding by explicitly correlating Gaussian random fields, Isa Marques, Thomas Kneib and Nadja Klein,
in Environmetrics
(2022)
Variable selection and model choice in structured survival models, Benjamin Hofner, Torsten Hothorn and Thomas Kneib,
in Computational Statistics
(2013)
Keywords: Hazard regression, Likelihood-based boosting, Model choice, P-splines, Smooth effects, Time-varying effects,
Additive mixed models with Dirichlet process mixture and P-spline priors, Felix Heinzl, Ludwig Fahrmeir and Thomas Kneib,
in AStA Advances in Statistical Analysis
(2012)
Keywords: Dirichlet process mixture, Mixed models, Nonparametric Bayes inference, Penalized splines,
Bayesian accelerated failure time models based on penalized mixtures of Gaussians: regularization and variable selection, Susanne Konrath, Ludwig Fahrmeir and Thomas Kneib,
in AStA Advances in Statistical Analysis
(2015)
Keywords: Regularization priors, Scale mixtures of normals, Penalized splines,
Semiparametric multinomial logit models for analysing consumer choice behaviour, Thomas Kneib, Bernhard Baumgartner and Winfried Steiner,
in AStA Advances in Statistical Analysis
(2007)
Keywords: Brand choice, Conditional logit model, Mixed models, Multinomial logit model, Penalised splines, Proper scoring rules, Semiparametric regression ,
Penalized likelihood and Bayesian function selection in regression models, Fabian Scheipl, Thomas Kneib and Ludwig Fahrmeir,
in AStA Advances in Statistical Analysis
(2013)
Keywords: Generalized additive model, Regularization, Smoothing, Spike and slab priors,
Editorial, Göran Kauermann, Thomas Kneib and Yarema Okhrin,
in AStA Advances in Statistical Analysis
(2020)
Editorial, Harry Haupt, Thomas Kneib and Yarema Okhrin,
in AStA Advances in Statistical Analysis
(2023)
A New Semiparametric Approach to Analysing Conditional Income Distributions, Alexander Sohn, Nadja Klein and Thomas Kneib,
from DIW Berlin, The German Socio-Economic Panel (SOEP)
(2014)
Simultaneous Confidence Bands for Penalized Spline Estimators, Tatyana Krivobokova, Thomas Kneib and Gerda Claeskens,
from Courant Research Centre PEG
(2009)
Keywords: Bayesian penalized splines; B-splines; Confidence band; Mixed model; Penalization
Bayesian generalized additive models for location, scale and shape for zero-inflated and overdispersed count data, Nadja Klein, Thomas Kneib and Stefan Lang,
from Faculty of Economics and Statistics, Universität Innsbruck
(2013)
Keywords: iteratively weighted least squares, Markov chain Monte Carlo, penalized splines, zero-inflated negative binomial, zero-inflated Poisson
Bayesian Structured Additive Distributional Regression, Nadja Klein, Thomas Kneib and Stefan Lang,
from Faculty of Economics and Statistics, Universität Innsbruck
(2013)
Keywords: generalised additive models for location scale and shape, iteratively weighted least squares proposal, Markov chain Monte Carlo simulation, penalised splines, semiparametric regression
Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape, Nadja Klein, Michel Denuit, Stefan Lang and Thomas Kneib,
from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)
(2014)
Semiparametric stochastic volatility modelling using penalized splines, Roland Langrock, Th\'eo Michelot, Alexander Sohn and Thomas Kneib,
from arXiv.org
(2014)
Modelling children's anthropometric status using Bayesian distributional regression merging socio-economic and remote sensed data from South Asia and sub-Saharan Africa, Johannes Seiler, Kenneth Harttgen, Thomas Kneib and Stefan Lang,
in Economics & Human Biology
(2021)
Keywords: Anthropometric measures and growth failures; Childhood malnutrition Bayesian distributional regression; UNICEF framework of malnutrition; South Asia; Sub-Sahara Africa;
LASSO-type penalization in the framework of generalized additive models for location, scale and shape, Andreas Groll, Julien Hambuckers, Thomas Kneib and Nikolaus Umlauf,
in Computational Statistics & Data Analysis
(2019)
Keywords: GAMLSS; Distributional regression; Model selection; LASSO; Fused LASSO;
Correcting for sample selection bias in Bayesian distributional regression models, Paul F.V. Wiemann, Nadja Klein and Thomas Kneib,
in Computational Statistics & Data Analysis
(2022)
Keywords: Bayesian distributional regression; Copula; Data augmentation; Markov chain Monte Carlo; Sample selection; Semi-parametric predictors;
Bayesian Nonparametric Instrumental Variables Regression Based on Penalized Splines and Dirichlet Process Mixtures, Manuel Wiesenfarth, Carlos Hisgen, Thomas Kneib and Carmen Cadarso-Suarez,
in Journal of Business & Economic Statistics
(2014)
Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape, Nadja Klein, Michel Denuit, Stefan Lang and Thomas Kneib,
in Insurance: Mathematics and Economics
(2014)
Keywords: Overdispersed count data; Mixed Poisson regression; Zero-inflated Poisson; Negative binomial; Zero-adjusted models; MCMC; Probabilistic forecasts;
Reconsidering the income‐health relationship using distributional regression, Alexander Silbersdorff, Julia Lynch, Stephan Klasen and Thomas Kneib,
in Health Economics
(2018)
Multivariate conditional transformation models, Nadja Klein, Torsten Hothorn, Luisa Barbanti and Thomas Kneib,
in Scandinavian Journal of Statistics
(2022)
A bivariate relative poverty line for leisure time and income poverty: Detecting intersectional differences using distributional copulas, Franziska Dorn, Rosalba Radice, Giampiero Marra and Thomas Kneib,
in Review of Income and Wealth
(2024)
Nonparametric inference in hidden Markov models using P-splines, Roland Langrock, Thomas Kneib, Alexander Sohn and Stacy L. DeRuiter,
in Biometrics
(2015)
Beyond unidimensional poverty analysis using distributional copula models for mixed ordered‐continuous outcomes, Maike Hohberg, Francesco Donat, Giampiero Marra and Thomas Kneib,
in Journal of the Royal Statistical Society Series C
(2021)
Estimating the relationship between women's education and fertility in Botswana by using an instrumental variable approach to semiparametric expectile regression, Fabian Sobotka, Rosalba Radice, Giampiero Marra and Thomas Kneib,
in Journal of the Royal Statistical Society Series C
(2013)
Bayesian structured additive distributional regression for multivariate responses, Nadja Klein, Thomas Kneib, Stephan Klasen and Stefan Lang,
in Journal of the Royal Statistical Society Series C
(2015)
Flexible instrumental variable distributional regression, Guillermo Briseño Sanchez, Maike Hohberg, Andreas Groll and Thomas Kneib,
in Journal of the Royal Statistical Society Series A
(2020)
A bivariate relative poverty line for time and income poverty: Detecting intersectional differences using distributional copulas, Franziska Dorn, Rosalba Radice, Giampiero Marra and Thomas Kneib,
from University of Goettingen, Department of Economics
(2021)
Keywords: bivariate relative poverty line, bivariate distributional copulamodel, income distribution, leisure time distribution, Mexican National Survey of Households, intersectionality
Analysing farmland rental rates using Bayesian geoadditive quantile regression, Alexander März, Nadja Klein, Thomas Kneib and Oliver Musshoff,
from European Association of Agricultural Economists
(2014)
Keywords: Land Economics/Use, Research Methods/ Statistical Methods
Analysing farmland rental rates using Bayesian geoadditive quantile regression, Alexander März, Nadja Klein, Thomas Kneib and Oliver Musshoff,
from Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE)
(2014)
Keywords: Bayesian Geoadditive Quantile Regression, Boosting, Farmland Rental Rates, Hedonic Pricing Models, P-splines
Analysing farmland rental rates using Bayesian geoadditive quantile regression, Alexander März, Nadja Klein, Thomas Kneib and Oliver Musshoff,
in European Review of Agricultural Economics
(2016)
On the dependency of soccer scores – a sparse bivariate Poisson model for the UEFA European football championship 2016, Groll Andreas, Kneib Thomas, Mayr Andreas and Schauberger Gunther,
in Journal of Quantitative Analysis in Sports
(2018)
Keywords: bivariate Poisson model, boosting, dependency of soccer scores, European championship 2016, variable selection
Estimating time-varying parameters in brand choice models: A semiparametric approach, Daniel Guhl, Bernhard Baumgartner, Thomas Kneib and Winfried J. Steiner,
in International Journal of Research in Marketing
(2018)
Keywords: Brand choice modeling; Time-varying parameters; Heterogeneity; Semiparametric regression; P(enalized) splines;
Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions, Thomas Kneib, Nadja Klein, Stefan Lang and Nikolaus Umlauf,
in TEST: An Official Journal of the Spanish Society of Statistics and Operations Research
(2019)
Keywords: Constrained sampling, Distributional regression, Functional random effects, Markov chain Monte Carlo simulations, Penalised splines, Smoothing spline analysis of variance, Space–time models, Tensor product interactions
Rejoinder on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions, Thomas Kneib, Nadja Klein, Stefan Lang and Nikolaus Umlauf,
in TEST: An Official Journal of the Spanish Society of Statistics and Operations Research
(2019)
Keywords: 62G08, 62J12, 62H11
Semiparametric stochastic volatility modelling using penalized splines, Roland Langrock, Théo Michelot, Alexander Sohn and Thomas Kneib,
in Computational Statistics
(2015)
Keywords: B-splines, Cross-validation, Forward algorithm , Hidden Markov model, Numerical integration, Penalized likelihood,
Variational inference: uncertainty quantification in additive models, Jens Lichter, Paul F V Wiemann and Thomas Kneib,
in AStA Advances in Statistical Analysis
(2024)
Keywords: Approximate Bayesian inference, Deep neural networks, Multilayer perceptron, P-splines, Semiparametric regression, Variational Bayes, Simultaneous credible intervals
A Variance Partitioning Multi-level Model for Forest Inventory Data with a Fixed Plot Design, Isa Marques, Paul F. V. Wiemann and Thomas Kneib,
in Journal of Agricultural, Biological and Environmental Statistics
(2023)
Keywords: Bayesian inference, Forestry, Markov chain Monte Carlo simulations, Multi-level modeling, Spatial statistics
Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data, Bernhard Baumgartner, Daniel Guhl, Thomas Kneib and Winfried J. Steiner,
in OR Spectrum: Quantitative Approaches in Management
(2018)
Keywords: Brand choice, Multinomial logit model, Time-varying effects, Semiparametric regression, P(enalized)-splines
Using the softplus function to construct alternative link functions in generalized linear models and beyond, Paul F. V. Wiemann, Thomas Kneib and Julien Hambuckers,
in Statistical Papers
(2024)
Keywords: Generalized linear model, Link function, Regression, Response function, Softplus
The effect of income on democracy revisited a flexible distributional approach, Rajius Idzalika, Thomas Kneib and Inmaculada Martínez-Zarzoso,
in Empirical Economics
(2019)
Keywords: Income, Democracy, Beta distribution, Bimodal, OECD
The effect of income on democracy revisited: A flexible distributional approach, Rajius Idzalika, Thomas Kneib and Inmaculada Martínez-Zarzoso,
from University of Goettingen, Department of Economics
(2015)
Keywords: income, democracy, beta distribution, bimodal, OECD
Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape, Nadja Klein, Michel Denuit, Stefan Lang and Thomas Kneib,
from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)
(2013)
Reconsidering the Income-Illness Relationship Using Distributional Regression: An Application to Germany, Alexander Silbersdorff, Julia Lynch, Stephan Klasen and Thomas Kneib,
from DIW Berlin, The German Socio-Economic Panel (SOEP)
(2017)
Reconsidering the Income-Illness Relationship using Distributional Regression: An Application to Germany, Alexander Silbersdorff, Julia Lynch, Stephan Klasen and Thomas Kneib,
from Courant Research Centre PEG
(2017)
Bayesian Nonparametric Instrumental Variable Regression based on Penalized Splines and Dirichlet Process Mixtures, Manuel Wiesenfarth, Carlos Hisgen, Thomas Kneib and Carmen Cadarso-Suarez,
from Courant Research Centre PEG
(2012)
Keywords: Endogeneity; Markov Chain Monte Carlo methods; Simultaneous credible bands
Bayesian semiparametric additive quantile regression, Elisabeth Waldmann, Thomas Kneib, Yu Ryan Yu and Stefan Lang,
from Faculty of Economics and Statistics, Universität Innsbruck
(2012)
Keywords: asymmetric Laplace distribution, Bayesian quantile regression, Dirichlet process mixtures, LASSO, P-splines
Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape, Nadja Klein, Michel Denuit, Stefan Lang and Thomas Kneib,
from Faculty of Economics and Statistics, Universität Innsbruck
(2013)
Keywords: overdispersed count data, mixed Poisson regression, zero-inflated Poisson, Negative Binomial, zero-adjusted models, MCMC, probabilistic forecasts
Bayesian Structured Additive Distributional Regression for Multivariate Responses, Nadja Klein, Thomas Kneib, Stephan Klasen and Stefan Lang,
from Faculty of Economics and Statistics, Universität Innsbruck
(2013)
Keywords: correlated responses; iteratively weighted least squares proposal; Markov chain Monte Carlo simulation; penalised splines; semiparametric regression; Dirichlet regression; seemingly unrelated regression
LASSO-Type Penalization in the Framework of Generalized Additive Models for Location, Scale and Shape, Andreas Groll, Julien Hambuckers, Thomas Kneib and Nikolaus Umlauf,
from Faculty of Economics and Statistics, Universität Innsbruck
(2018)
Keywords: GAMLSS, distributional regression, model selection, LASSO, fused LASSO
Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011, Maike Tahden, Juliane Manitz, Klaus Baumgardt, Gerhard Fell, Thomas Kneib and Guido Hegasy,
in PLOS ONE
(2016)
Candidate-gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios, Nadja Klein, Andrew Entwistle, Albert Rosenberger, Thomas Kneib and Heike Bickeböller,
in Journal of Applied Statistics
(2020)
Structured Additive Regression Models: An R Interface to BayesX, Nikolaus Umlauf, Daniel Adler, Thomas Kneib, Stefan Lang and Achim Zeileis,
in Journal of Statistical Software
(2015)
Adaptive semiparametric M-quantile regression, Fabian Otto-Sobotka, Nicola Salvati, Maria Giovanna Ranalli and Thomas Kneib,
in Econometrics and Statistics
(2019)
Keywords: Iteratively weighted least squares; P-splines; Semiparametric regression; Heteroscedasticity; Two-stage estimation; Expectiles;
Generalized additive models for location, scale and shape for high dimensional data—a flexible approach based on boosting, Andreas Mayr, Nora Fenske, Benjamin Hofner, Thomas Kneib and Matthias Schmid,
in Journal of the Royal Statistical Society Series C
(2012)
Source estimation for propagation processes on complex networks with an application to delays in public transportation systems, Juliane Manitz, Jonas Harbering, Marie Schmidt, Thomas Kneib and Anita Schöbel,
in Journal of the Royal Statistical Society Series C
(2017)
Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data, Jacqueline D. Seufert, Andre Python, Christoph Weisser, Elías Cisneros, Krisztina Kis‐Katos and Thomas Kneib,
in Journal of the Royal Statistical Society Series A
(2022)
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