Gerda Claeskens | Academic Influence

Gerda Claeskens's AcademicInfluence.com Rankings

Gerda Claeskens

Mathematics

#5501

World Rank

#7735

Historical Rank

Statistics

#631

World Rank

#715

Historical Rank

mathematics Degrees

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Mathematics

Why Is Gerda Claeskens Influential?

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According to Wikipedia, Gerda Claeskens is a Belgian statistician. She is a professor of statistics in the Faculty of Economics and Business at KU Leuven, associated with the KU Research Centre for Operations Research and Business Statistics .

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Gerda Claeskens's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Model Selection and Model Averaging (2001) (1368)
Model Selection (2011) (710)
Frequentist Model Average Estimators (2003) (650)
Model Selection and Model Averaging: Contents (2008) (461)
The Focused Information Criterion (2003) (354)
Asymptotic properties of penalized spline estimators (2009) (215)
Nonparametric Estimation (2011) (213)
Non‐parametric small area estimation using penalized spline regression (2008) (181)
Bootstrap confidence bands for regression curves and their derivatives (2003) (177)
The Forecast Combination Puzzle: A Simple Theoretical Explanation (2014) (169)
On model selection and model misspecification in causal inference (2012) (164)
Multivariate Functional Halfspace Depth (2012) (138)
Comprar Model Selection and Model Averaging | Gerda Claeskens | 9780521852258 | Cambridge University Press (2008) (136)
Exact likelihood ratio tests for penalised splines (2005) (128)
Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model (2006) (117)
Model-Assisted Estimation for Complex Surveys Using Penalized Splines (2005) (116)
Simultaneous Confidence Bands for Penalized Spline Estimators (2009) (115)
Variable Selection for Logistic Regression Using a Prediction‐Focused Information Criterion (2006) (105)
Unravelling the predictive power of telematics data in car insurance pricing (2017) (99)
Testing the Fit of a Parametric Function (1999) (84)
Empirical likelihood confidence regions for comparison distributions and roc curves (2003) (74)
Nonparametric Small Area Estimation Using Penalized Spline Regression (2005) (71)
Testing lack of fit in multiple regression (2000) (70)
Time to default in credit scoring using survival analysis: a benchmark study (2015) (64)
Some theory for penalized spline generalized additive models (2002) (63)
One-sided tests in shared frailty models (2008) (59)
Goodness-of-fit tests in mixed models (2009) (58)
Statistical Model Choice (2016) (57)
Local polynomial estimation in multiparameter likelihood models (1997) (56)
Goodness of Fit via Non‐parametric Likelihood Ratios (2004) (53)
Variable Selection with Incomplete Covariate Data (2007) (53)
PREDICTION‐FOCUSED MODEL SELECTION FOR AUTOREGRESSIVE MODELS (2007) (49)
Restricted likelihood ratio lack‐of‐fit tests using mixed spline models (2004) (47)
An Information Criterion for Variable Selection in Support Vector Machines (2008) (45)
MINIMIZING AVERAGE RISK IN REGRESSION MODELS (2008) (43)
Local multiple imputation (2002) (40)
An Asymptotic Theory for Model Selection Inference in General Semiparametric Problems (2007) (37)
An Akaike Information Criterion for Multiple Event Mixture Cure Models (2014) (37)
Asymptotic post‐selection inference for the Akaike information criterion (2018) (36)
Predicting time-to-churn of prepaid mobile telephone customers using social network analysis (2016) (34)
Bootstrapping for Penalized Spline Regression (2009) (34)
S-Estimation for Penalized Regression Splines (2008) (31)
Focussed information criteria and model averaging for Cox's hazard regression model (2009) (27)
Phase and Amplitude-Based Clustering for Functional Data (2012) (27)
Minimum Mean Squared Error Model Averaging in Likelihood Models (2015) (26)
Focused Model Selection in Quantile Regression (2013) (26)
Testing for lack of fit in inverse regression—with applications to biophotonic imaging (2007) (25)
Lack of fit, graphics, and multilevel model diagnostics (2013) (24)
Macro-Economic Factors in Credit Risk Calculations: Including Time-Varying Covariates in Mixture Cure Models (2019) (23)
Goodness-of-Fit Tests for the Frailty Distribution in Proportional Hazards Models with Shared Frailty (2013) (22)
A comparison of robust versions of the AIC based on M-, S- and MM-estimators (2013) (22)
A multiresolution approach to time warping achieved by a Bayesian prior–posterior transfer fitting strategy (2010) (21)
Warping Functional Data in R and C via a Bayesian Multiresolution Approach (2010) (21)
Nonparametric estimation of mean and dispersion functions in extended generalized linear models (2008) (21)
Combining local and social network classifiers to improve churn prediction (2015) (19)
A quadratic bootstrap method and improved estimation in logistic regression (2003) (16)
Discussion: Rejoinder to 'The focussed information criterion' and 'Frequentist model averaging' (2003) (16)
Effect of dependence on stochastic measures of accuracy of density estimations (2002) (16)
Bootstrapping Pseudolikelihood Models for Clustered Binary Data (1999) (15)
Mining Telecommunication Networks to Enhance Customer Lifetime Predictions (2014) (15)
Multivariate mixtures of Erlangs for density estimation under censoring (2014) (14)
Some theory for penalized spline additive models (1999) (14)
Bayesian-motivated tests of function fit and their asymptotic frequentist properties (2004) (14)
A focused information criterion for graphical models (2015) (13)
Hyperbolic wavelet thresholding methods and the curse of dimensionality through the maxiset approach (2014) (12)
Focused estimation and model averaging with penalization methods: an overview (2012) (12)
A Focused Information Criterion for Graphical Models in fMRI Connectivity with High-Dimensional Data (2015) (12)
Bootstrapping local polynomial estimators in likelihood-based models (2000) (11)
Bootstrap tests for misspecified models, with application to clustered binary data (2001) (11)
Assessing the fit of a model (2002) (11)
Copula directed acyclic graphs (2015) (11)
A new depth-based approach for detecting outlying curves (2012) (10)
On local estimating equations in additive multiparameter models (2000) (10)
Variable selection in partially linear wavelet models (2011) (10)
The Focussed Information Criterion (2011) (9)
Composite versus model-averaged quantile regression (2019) (8)
Confidence Intervals for High-Dimensional Partially Linear Single-Index Models (2016) (8)
Fixed Effects Testing in High-Dimensional Linear Mixed Models (2017) (8)
Order selection tests with multiply imputed data (2010) (7)
Model Selection and Model Averaging: The Bayesian information criterion (2008) (7)
Constructing Graphical Models via the Focused Information Criterion (2014) (7)
An EM algorithm to model the occurrence of events subject to a reporting delay (2018) (7)
Mixed scale joint graphical lasso. (2016) (7)
Missing covariates in logistic regression, estimation and distribution selection (2011) (7)
Copula based flexible modeling of associations between clustered event times (2016) (6)
Nonparametric C- and D-vine-based quantile regression (2021) (6)
A High‐dimensional Focused Information Criterion (2018) (6)
Smoothing techniques and bootstrap methods for multiparameter likelihood models (1999) (6)
Asymptotic Performance of Projection Estimators in Standard and Hyperbolic Wavelet Bases (2015) (5)
Rejoinder (2003) (5)
Likelihood ratio and score tests for a shared frailty model: a non-standard problem (2003) (5)
Model Selection via Focused Information Criteria for Complex Data in Ecology and Evolution (2019) (5)
Community-Based Group Graphical Lasso (2020) (5)
Rejoinder on: Goodness-of-fit tests in mixed models (2009) (5)
Theory & Methods: Data Sharpening for Hazard Rate Estimation (2002) (5)
A hierarchical mixture cure model with unobserved heterogeneity for credit risk (2021) (4)
A Simple Theoretical Explanation of the Forecast Combination Puzzle (2014) (4)
Prediction focussed model selection for autoregressive models bmodels (2006) (4)
Detangling robustness in high dimensions: Composite versus model-averaged estimation (2020) (3)
Frequentist model averaging and model selection (2003) (3)
Model Selection and Model Averaging: Lack-of-fit and goodness-of-fit tests (2008) (3)
Model Selection and Model Averaging: Akaike's information criterion (2008) (3)
Asymptotic Post-Selection Inference for Akaike's Information Criterion (2018) (2)
Exact uniformly most powerful postselection confidence distributions (2022) (2)
Modeling the Occurrence of Events Subject to a Reporting Delay via an EM Algorithm (2019) (2)
Robust and efficient estimation of nonparametric generalized linear models (2022) (2)
Copula directed acyclic graphs (2015) (2)
Preprint #06–01 Bootstrapping for Penalized Spline Regression (2006) (2)
Shifting attention to old age: detecting mortality deceleration using focused model selection (2019) (2)
Minimax optimal procedures for testing the structure of multidimensional functions (2017) (2)
Detecting outlying curves based on functional depth (2012) (1)
Structure Learning Using a Focused Information Criterion in Graphical Models (2012) (1)
Focused Estimation and Model Averaging for High-Dimensional Data, An Overview (2010) (1)
Model Selection and Model Averaging: Frequentist and Bayesian model averaging (2008) (1)
Special issue on Model Selection and High Dimensional Data Reduction (2014) (1)
Model Selection and Model Averaging: Model selection: data examples and introduction (2008) (1)
BIC selection of the number of classes in latent class models with background variables (2012) (1)
Lack-of-fit tests in linear mixed models with application to wavelet tests (2011) (1)
Nonlinear mixed effects modeling and warping for functional data using B-splines (2021) (1)
The prediction of time to default for personal loans using mixture cure models: including macro-economic factors (2015) (1)
Flexible polynomial models (2002) (1)
Robust benchmark dose determination based on profile score methods (2002) (1)
A new approach for variable selection in mixture cure models for prediction time of default (2013) (1)
Modeling unobserved heterogeneity in mixture cure models (2014) (1)
Lack-of-Fit Tests in Semiparametric Mixed Models (2007) (1)
Multivariate mixtures of Erlangs for density estimation under censoring (2015) (1)
Analysis of Clustered Multivariate Data from Developmental Toxicity Studies (1998) (1)
Copula based flexible modeling of associations between clustered event times (2015) (1)
Some results on penalized spline estimation in generalized additive and semiparametric models (1999) (1)
Artificial Intelligence and Soft Computing (2014) (1)
Focused Model Selection for Social Networks (2016) (1)
Model selection and model averagin (2013) (1)
The analysis of credit risk data: variable selection for a mixture cure model (2013) (0)
Lack-of-fit tests using wavelet regression in semiparametric mixed models (2006) (0)
Automatic bias correction for testing in high‐dimensional linear models (2022) (0)
The analysis of credit risk data: an information criterion for multiple event mixture cure models (2013) (0)
Clustering functional data via multivariate functional halfspace depth (2011) (0)
Model selection and parameter estimation with missing covariates in logistic regression models Workshop on Model Selection 2008 (2008) (0)
Linear manifold modeling and graph estimation based on multivariate functional data with different coarseness scales (2022) (0)
Multiple nonparametric bootstrap imputation (2001) (0)
Flexible modelling of functional data using continuous wavelet dictionaries (2011) (0)
Model Selection and Model Averaging: Bigger is not always better (2008) (0)
Functional clustering based on multiresolution warping (2010) (0)
An Akaike information criterion for mixture cure models (2013) (0)
Referees (2015) (0)
DEPARTMENT OF DECISION SCIENCES AND INFORMATION MANAGEMENT (KBI) (2010) (0)
A statistical modeling approach for car insurance pricing with telematics data (2016) (0)
On focussed and less focussed model selection (2006) (0)
Weight choice by minimizing MSE for general likelihood averaging (2014) (0)
Discussion on “Model Confidence Bounds for Variable Selection” by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin (2019) (0)
Telematics insurance: impact on tarification (2016) (0)
New Developments in Functional and Highly Multivariate Statistical Methodology (2016) (0)
Contributions/collaborations from KUL-1 (2013) (0)
Modeling dependent losses under censoring and truncation using multivariate mixtures of Erlangs (2015) (0)
Model Selection and Model Averaging: Further topics (2008) (0)
Model Selection and Model Averaging: Overview of data examples (2008) (0)
Optimal finite sample post-selection confidence distributions in generalized linear models (2022) (0)
Poster presentation: model selection for graphical models using the focused information criterion (2013) (0)
Managing Uncertainty: Financial, Actuarial and Statistical Modeling (2005) (0)
SFB 823 Focused model selection in quantile regression (2012) (0)
Credit risk modeling using mixture cure models: variable selection and time-dependent covariates (2015) (0)
Focused graphical model estimation (2015) (0)
A statistical modeling approach for pricing car insurance with telematics data (2016) (0)
Nonparametric optimal tests for structure detection in multivariate data (2014) (0)
Model Selection and Model Averaging: A comparison of some selection methods (2008) (0)
A High-Dimensional Focused Information Criterion (2017) (0)
Model selection and averaging schemes in action (2008) (0)
Two lack of fit tests for multiple logistic regression (2003) (0)
Focused graphical model estimation (President’s invited lecture) (2015) (0)
Model selection for graphs using the focused information criterion (2013) (0)
A Comparison of Robust Versions of the AIC Based on M, S and MM-Estimators (2010) (0)
Some recent advances in model selection (2007) (0)
Post-selection inference for linear mixed model parameters using the conditional Akaike information criterion (2021) (0)
Model selection with missing covariates under ignorable missingness (2007) (0)
Statistical inference for the sparse parameter of a partially linear single-index model (2015) (0)
Advances on the use of mixture cure models in the credit risk context (2015) (0)
Zoom‐in–out joint graphical lasso for different coarseness scales (2019) (0)
Modelling dependence under censoring and truncation using multivariate mixtures of Erlang distributions (2014) (0)
Nodewise graphical modeling using the focused information criterion for 'p larger than n' settings (2014) (0)
Using mixture cure models with unobserved heterogeneity for the analysis of credit loan data (2014) (0)
S-Estimation and a Robust Conditional Akaike Information Criterion for Linear Mixed Models (2011) (0)
Kullback–Leibler Information (2018) (0)
Order Selection Tests with Multiply-Imputed Data (2009) (0)
Model Selection and Model Averaging: References (2008) (0)
On the Performance of Isotropic and Hyperbolic Wavelet Estimators (2013) (0)
Bootstrapping multiparameter models, with applications to clustered binary data (2000) (0)
A Multiresolution Approach to Time Warping Achieved by a Bayesian Prior-Posterior Transfer Fitting Strategy (2009) (0)
Variable selection: the focussed paradigm (2007) (0)
Rejoinder to the Discusion of the two Hjort and Claeskens Articles (2003) (0)
Performing model selection in mixture cure models for the analysis of credit risk data (2013) (0)
A focused information criterion for graphical models (2014) (0)

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What Are Gerda Claeskens's Academic Contributions?

Gerda Claeskens is most known for their academic work in the field of mathematics. They are also known for their academic work in the fields of

Gerda Claeskens has made the following academic contributions:

Model selection and model averaging