| Publication | Date of Publication | Type |
|---|
| Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis | 2023-10-30 | Paper |
| Two‐group Poisson‐Dirichlet mixtures for multiple testing | 2023-10-12 | Paper |
| Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease | 2023-10-09 | Paper |
| A Bayesian approach for capturing daily heterogeneity in intra-daily durations time series | 2023-03-13 | Paper |
| Dynamic and robust Bayesian graphical models | 2022-12-09 | Paper |
| Bayesian graphical models for modern biological applications | 2022-07-07 | Paper |
| Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM | 2022-06-22 | Paper |
| Discrete Spike-and-Slab Priors: Models and Computational Aspects | 2022-05-27 | Paper |
| Correction to: ``A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes | 2022-05-06 | Paper |
| A Bayesian time-varying effect model for behavioral mHealth data | 2022-03-03 | Paper |
| A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes | 2021-08-04 | Paper |
| Regularized partial least squares with an application to NMR spectroscopy | 2020-10-14 | Paper |
| A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints | 2020-10-14 | Paper |
| Simultaneous inference for multiple testing and clustering via a Dirichlet process mixture model | 2020-10-08 | Paper |
| Preventing the Dirac disaster: Wavelet based density estimation | 2020-09-29 | Paper |
| Hierarchical Normalized Completely Random Measures to Cluster Grouped Data | 2020-08-03 | Paper |
| Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data | 2020-02-07 | Paper |
| Hierarchical normalized completely random measures for robust graphical modeling | 2020-01-29 | Paper |
| Challenges in the analysis of neuroscience data | 2019-06-04 | Paper |
| A Bayesian nonparametric spiked process prior for dynamic model selection | 2019-03-29 | Paper |
| A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data | 2018-10-23 | Paper |
| Bayesian variable selection for a semi-competing risks model with three hazard functions | 2018-08-07 | Paper |
| A Bayesian approach to identify genes and gene-level SNP aggregates in a genetic analysis of cancer data | 2018-05-08 | Paper |
| Bayesian Wavelet-Based Methods for the Detection of Multiple Changes of the Long Memory Parameter | 2017-10-30 | Paper |
| Bayesian Inference of Multiple Gaussian Graphical Models | 2017-10-13 | Paper |
| Some Themes in High-Dimensional Statistics | 2017-01-19 | Paper |
| iBATCGH: Integrative Bayesian Analysis of Transcriptomic and CGH Data | 2017-01-19 | Paper |
| A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data | 2016-09-09 | Paper |
| Variable selection in clustering via Dirichlet process mixture models | 2016-06-27 | Paper |
| Non-parametric Sampling Approximation via Voronoi Tessellations | 2016-05-30 | Paper |
| A Bayesian model for the identification of differentially expressed genes inDaphnia magnaexposed to munition pollutants | 2016-05-04 | Paper |
| Spiked Dirichlet process prior for Bayesian multiple hypothesis testing in random effects models | 2016-02-12 | Paper |
| A Bayesian nonparametric approach for the analysis of multiple categorical item responses | 2015-12-29 | Paper |
| Inferring metabolic networks using the Bayesian adaptive graphical Lasso with informative priors | 2015-12-10 | Paper |
| Density Estimation for Protein Conformation Angles Using a Bivariate von Mises Distribution and Bayesian Nonparametrics | 2015-05-29 | Paper |
| Bayesian variable selection in clustering high-dimensional data with substructure | 2015-03-05 | Paper |
| A hierarchical Bayesian model for inference of copy number variants and their association to gene expression | 2014-06-10 | Paper |
| An Integrative Bayesian Modeling Approach to Imaging Genetics | 2013-11-11 | Paper |
| A Wavelet‐Based Bayesian Approach to Regression Models with Long Memory Errors and Its Application to fMRI Data | 2013-05-14 | Paper |
| Order test for high-dimensional two-sample means | 2012-09-04 | Paper |
| Bayesian wavelet-based curve classification via discriminant analysis with Markov random tree priors | 2012-05-14 | Paper |
| Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes | 2011-12-14 | Paper |
| Variable selection for nonparametric Gaussian process priors: Models and computational strategies | 2011-08-19 | Paper |
| A Bayesian graphical modeling approach to microRNA regulatory network inference | 2011-06-20 | Paper |
| Spiked Dirichlet process priors for Gaussian process models | 2011-06-15 | Paper |
| A Dirichlet process mixture of hidden Markov models for protein structure prediction | 2010-09-10 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3580280 | 2010-08-12 | Paper |
| A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors | 2010-08-03 | Paper |
| https://portal.mardi4nfdi.de/entity/Q3643281 | 2009-11-11 | Paper |
| Order‐Preserving Dimension Reduction Procedure for the Dominance of Two Mean Curves with Application to Tidal Volume Curves | 2008-10-15 | Paper |
| Bayesian Variable Selection in Clustering High-Dimensional Data | 2007-08-20 | Paper |
| Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage | 2007-06-11 | Paper |
| Bayesian wavelet analysis of autoregressive fractionally integrated moving-average processes | 2006-08-14 | Paper |
| Wavelet Thresholding with Bayesian False Discovery Rate Control | 2006-01-03 | Paper |
| Bayes Model Averaging with Selection of Regressors | 2005-04-11 | Paper |
| Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis | 2004-06-10 | Paper |
| Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem | 2003-08-13 | Paper |
| A decision theoretical approach to wavelet regression on curves with a high number of regressors | 2003-04-09 | Paper |
| Covariance Structure of Wavelet Coefficients: Theory and Models in a Bayesian Perspective | 2000-07-17 | Paper |
| https://portal.mardi4nfdi.de/entity/Q4938806 | 2000-05-18 | Paper |
| The choice of variables in multivariate regression: a non-conjugate Bayesian decision theory approach | 2000-04-10 | Paper |
| Multivariate Bayesian Variable Selection and Prediction | 1998-10-18 | Paper |
