| Publication | Date of Publication | Type |
|---|
| Bayesian generalized additive model selection including a fast variational option | 2024-12-05 | Paper |
| Second term improvement to generalized linear mixed model asymptotics | 2024-11-13 | Paper |
| Modeling the health effects of time-varying complex environmental mixtures: mean field variational Bayes for lagged kernel machine regression | 2024-10-28 | Paper |
| Variational message passing for skew \(t\) regression | 2024-05-19 | Paper |
| Accurate logistic variational message passing: algebraic and numerical details | 2024-05-16 | Paper |
| Continued fraction enhancement of Bayesian computing | 2024-05-14 | Paper |
| Variational inference for marginal longitudinal semiparametric regression | 2024-05-14 | Paper |
| The Inverse G‐Wishart distribution and variational message passing | 2023-10-20 | Paper |
| Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects | 2023-10-09 | Paper |
| High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices | 2023-09-15 | Paper |
| gamselBayes | 2023-09-03 | Software |
| Second Term Improvement to Generalised Linear Mixed Model Asymptotics | 2023-03-31 | Paper |
| densEstBayes | 2023-03-31 | Software |
| Dispersion parameter extension of precise generalized linear mixed model asymptotics | 2022-12-08 | Paper |
| Sparse linear mixed model selection via streamlined variational Bayes | 2022-10-18 | Paper |
| Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design | 2022-09-27 | Paper |
| Dispersion Parameter Extension of Precise Generalized Linear Mixed Model Asymptotics | 2022-08-10 | Paper |
| Density Estimation via Bayesian Inference Engines | 2022-07-05 | Paper |
| Factor graph fragmentization of expectation propagation | 2022-04-27 | Paper |
| Streamlined variational inference for higher level group-specific curve models | 2022-04-12 | Paper |
| Bayesian Generalized Additive Model Selection Including a Fast Variational Option | 2022-01-02 | Paper |
| https://portal.mardi4nfdi.de/entity/Q5148940 | 2021-02-05 | Paper |
| Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation | 2021-01-22 | Paper |
| hdrcde | 2021-01-18 | Software |
| STREAMLINED SOLUTIONS TO MULTILEVEL SPARSE MATRIX PROBLEMS | 2020-10-12 | Paper |
| Robustness for general design mixed models using thet-distribution | 2020-10-07 | Paper |
| Highest Density Difference Region Estimation with Application to Flow Cytometric Data | 2020-09-28 | Paper |
| Density Estimation via Bayesian Inference Engines | 2020-09-14 | Paper |
| Variational message passing for elaborate response regression models | 2019-03-29 | Paper |
| Semiparametric Regression with R | 2019-02-18 | Paper |
| Generalised additive mixed models analysis via gammSlice | 2018-11-27 | Paper |
| Mean field variational Bayesian inference for nonparametric regression with measurement error | 2018-11-02 | Paper |
| In memoriam: Peter Gavin Hall (1951--2016). A conversation with Peter Hall | 2018-10-02 | Paper |
| On expectation propagation for generalised, linear and mixed models | 2018-05-11 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2988171 | 2017-05-18 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2834508 | 2016-11-22 | Paper |
| Streamlined mean field variational Bayes for longitudinal and multilevel data analysis | 2016-08-12 | Paper |
| Wavelet-based gradient boosting | 2016-07-29 | Paper |
| Corrigendum to: ``On semiparametric regression with O'Sullivan penalized splines | 2016-06-01 | Paper |
| Semiparametric regression and graphical models | 2016-04-27 | Paper |
| Generalized extreme value additive model analysis via mean field variational Bayes | 2016-04-27 | Paper |
| Book review of: Y. Wang, Smoothing splines. Methods and applications | 2016-04-27 | Paper |
| Variational inference for count response semiparametric regression | 2016-04-22 | Paper |
| Parsimonious classification via generalized linear mixed models | 2016-04-04 | Paper |
| The explicit form of expectation propagation for a simple statistical model | 2016-03-11 | Paper |
| Variational inference for heteroscedastic semiparametric regression | 2016-02-23 | Paper |
| Mean field variational Bayes for elaborate distributions | 2016-02-08 | Paper |
| Simple marginally noninformative prior distributions for covariance matrices | 2016-02-02 | Paper |
| https://portal.mardi4nfdi.de/entity/Q2934044 | 2014-12-08 | Paper |
| Mean field variational Bayes for continuous sparse signal shrinkage: pitfalls and remedies | 2014-09-05 | Paper |
| Using Infer.NET for Statistical Analyses | 2014-01-10 | Paper |
| Functional regression via variational Bayes | 2013-05-28 | Paper |
| Penalized wavelets: embedding wavelets into semiparametric regression | 2013-05-28 | Paper |
| Explicit connections between longitudinal data analysis and kernel machines | 2013-05-27 | Paper |
| Semiparametric regression during 2003--2007 | 2013-05-27 | Paper |
| Asymptotic normality and valid inference for Gaussian variational approximation | 2012-02-21 | Paper |
| Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data | 2012-01-18 | Paper |
| Asymptotics for general multivariate kernel density derivative estimators | 2011-05-16 | Paper |
| Simple Incorporation of Interactions into Additive Models | 2011-03-01 | Paper |
| Penalized spline support vector classifiers computational issues | 2011-02-22 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3074776 | 2011-02-10 | Paper |
| Explaining Variational Approximations | 2010-10-11 | Paper |
| Marginal longitudinal semiparametric regression via penalized splines | 2010-07-13 | Paper |
| Asymptotics and optimal bandwidth selection for highest density region estimation | 2010-05-26 | Paper |
| Feature significance for multivariate kernel density estimation | 2009-06-16 | Paper |
| Mixed model-based additive models for sample extremes | 2008-11-25 | Paper |
| ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES | 2008-10-15 | Paper |
| Quasi-Monte Carlo for highly structured generalised response models | 2008-06-25 | Paper |
| ADDITIVE MODELS WITH PREDICTORS SUBJECT TO MEASUREMENT ERROR | 2008-04-28 | Paper |
| Fisher information for generalised linear mixed models | 2007-07-19 | Paper |
| Geoadditive Models | 2007-05-07 | Paper |
| Error analysis for general multtvariate kernel estimators | 2007-04-16 | Paper |
| Respiratory health and air pollution: additive mixed model analyses | 2005-11-02 | Paper |
| Generalized additive models for cancer mapping with incomplete covariates | 2005-11-02 | Paper |
| Exact likelihood ratio tests for penalised splines | 2005-09-05 | Paper |
| Negative Binomial Additive Models | 2005-04-19 | Paper |
| Local EM Estimation of the Hazard Function for Interval‐Censored Data | 2005-04-13 | Paper |
| Kriging with Nonparametric Variance Function Estimation | 2005-04-13 | Paper |
| Smoothing and mixed models | 2004-11-24 | Paper |
| A general projection framework for constrained smoothing. | 2004-05-27 | Paper |
| A comparison of regression spline smoothing procedures | 2004-03-16 | Paper |
| Semiparametric Regression | 2003-11-18 | Paper |
| Incorporation of Historical Controls Using Semiparametric Mixed Models | 2003-10-20 | Paper |
| Some theory for penalized spline generalized additive models | 2002-06-16 | Paper |
| Generalized additive distributed lag models: quantifying mortality displacement | 2001-03-19 | Paper |
| Miscellanea. On the optimal amount of smoothing in penalised spline regression | 2000-09-10 | Paper |
| Multivariate plug-in bandwidth selection | 2000-03-02 | Paper |
| A central limit theorem for local polynomial backfitting estimators | 1999-12-20 | Paper |
| Bandwidth selection for local polynomial smoothing of multinomial data | 1999-09-14 | Paper |
| Local Polynomial Variance-Function Estimation | 1998-06-25 | Paper |
| NONPARAMETRIC AUTOCOVARIANCE FUNCTION ESTIMATION | 1998-06-02 | Paper |
| Finite sample performance of deconvolving density estimators | 1998-03-05 | Paper |
| How easy is a given density to estimate? | 1997-08-31 | Paper |
| An Effective Bandwidth Selector for Local Least Squares Regression | 1997-08-11 | Paper |
| Facts about the gaussian probability density function | 1996-08-14 | Paper |
| On the accuracy of binned kernel density estimators | 1996-08-05 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4865051 | 1996-02-25 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4322328 | 1995-11-28 | Paper |
| Multivariate locally weighted least squares regression | 1995-10-03 | Paper |
| On the effect of density shape on the performance of its kernel estimate | 1995-02-28 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4272473 | 1993-12-20 | Paper |
| Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation | 1993-09-02 | Paper |
| CORRECTING FOR KURTOSIS IN DENSITY ESTIMATION | 1992-10-12 | Paper |
| Asymptotic effectiveness of some higher order kernels | 1992-09-27 | Paper |
| Exact mean integrated squared error | 1992-09-27 | Paper |
| Transformations in Density Estimation | 1992-06-26 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3970694 | 1992-06-25 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3477819 | 1990-01-01 | Paper |
| On the minimization of absolute distance in kernel density estimation | 1988-01-01 | Paper |
| Minimizing \(L_ 1\) distance in nonparametric density estimation | 1988-01-01 | Paper |
| On nonparametric discrimination using density differences | 1988-01-01 | Paper |
