Susanne Konrath

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All published works

Action	Title	Year	Authors
+	Bayesian accelerated failure time models based on penalized mixtures of Gaussians: regularization and variable selection	2014	Susanne Konrath Ludwig Fahrmeir Thomas Kneib
+	Bayesian regularization in regression models for survival data	2013	Susanne Konrath
+	Bayesian Smoothing, Shrinkage and Variable Selection in Hazard Regression	2013	Susanne Konrath Ludwig Fahrmeir Thomas Kneib
+	High Dimensional Structured Additive Regression Models: Bayesian Regularization, Smoothing and Predictive Performance	2010	Thomas Kneib Susanne Konrath Ludwig Fahrmeir
+	Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection	2009	Ludwig Fahrmeir Thomas Kneib Susanne Konrath
+	Bayesian Regularisation in Structured Additive Regression Models for Survival Data	2008	Susanne Konrath Thomas Kneib Ludwig Fahrmeir

Common Coauthors

Coauthor	Papers Together
Thomas Kneib	5
Ludwig Fahrmeir	5

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Bayesian P-Splines	2004	Stefan Lang Andreas Brezger	5
+	Bayesian adaptive lassos with non-convex penalization	2007	Jim E. Griffin Philip J. Brown	5
+	The Bayesian Lasso	2008	Trevor Park George Casella	5
+	Alternative prior distributions for variable selection with very many more variables than observations	2005	Jim E. Griffin Philip J. Brown	4
+ PDF Chat	Spike and slab variable selection: Frequentist and Bayesian strategies	2005	Hemant Ishwaran J. Sunil Rao	4
+ PDF Chat	Generalized structured additive regression based on Bayesian P-splines	2004	Andreas Brezger Stefan Lang	4
+	THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL	1997	Robert Tibshirani	3
+	APPROACHES FOR BAYESIAN VARIABLE SELECTION	1997	Edward I. George Robert E. McCulloch	3
+ PDF Chat	<i>L</i>1-Regularization Path Algorithm for Generalized Linear Models	2007	Mee Young Park Trevor Hastie	3
+	Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models	2007	Anastasios Panagiotelis Michael S. Smith	3
+ PDF Chat	Flexible smoothing with B-splines and penalties	1996	Paul H.C. Eilers Brian D. Marx	3
+	Nonparametric regression using Bayesian variable selection	1996	Michael S. Smith Robert Kohn	3
+	Variable Selection via Gibbs Sampling	1993	Edward I. George Robert E. McCulloch	3
+	High Dimensional Structured Additive Regression Models: Bayesian Regularization, Smoothing and Predictive Performance	2010	Thomas Kneib Susanne Konrath Ludwig Fahrmeir	2
+	On the Breslow estimator	2007	Dan Lin	2
+	Modeling Survival Data: Extending the Cox Model	2000	Terry M. Therneau Patricia M. Grambsch	2
+	Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection	2009	Ludwig Fahrmeir Thomas Kneib Susanne Konrath	2
+	PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE	2004	Ludwig Fahrmeir Thomas Kneib Stefan Lang	2
+	High‐Dimensional Cox Models: The Choice of Penalty as Part of the Model Building Process	2010	Axel Benner Manuela Zucknick Thomas Hielscher Carina Ittrich Ulrich Mansmann	2
+	Bayesian lasso regression	2009	Chetan P. Hans	2
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+	Gaussian Markov Random Fields	2005	Håvard Rue Leonhard Held	2
+ PDF Chat	The Bayesian elastic net	2010	Qing Li Nan Lin	2
+	Gene selection using a two-level hierarchical Bayesian model	2004	Kyounghwa Bae Bani K. Mallick	2
+	Penalized Regressions: The Bridge versus the Lasso	1998	Wenjiang J. Fu	2
+	A Bayesian justification of Cox's partial likelihood	2003	Devbarna Sinha	2
+	BAYESIAN HYPER-LASSOS WITH NON-CONVEX PENALIZATION	2011	Jim E. Griffin Philip J. Brown	2
+ PDF Chat	Cross‐validated Cox regression on microarray gene expression data	2005	Hans C. van Houwelingen Tako J. Bruinsma Augustinus A. M. Hart Laura J. van’t Veer Lodewyk F.A. Wessels	2
+	Assessment and comparison of prognostic classification schemes for survival data	1999	Erika Graf Claudia Schmoor Willi Sauerbrei M. Schumacher	2
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	2
+	A Mixed Model Approach for Geoadditive Hazard Regression	2006	Thomas Kneib Ludwig Fahrmeir	2
+	None	1997	Dani Gamerman	2
+	A Bayesian analysis of doubly censored data using a hierarchical Cox model	2007	Wei Zhang Kathryn Chaloner Mary Kathryn Cowles Ying Zhang Jack T. Stapleton	1
+	Inference in Semiparametric Dynamic Models for Binary Longitudinal Data	2006	Siddhartha Chib Ivan Jeliazkov	1
+	None	2001	Ludwig Fahrmeir Stefan Lang	1
+	Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)	2006	Andrew Gelman	1
+ PDF Chat	Applied logistic regression	1990	David W. Hosmer Stanley Lemeshow	1
+	Auxiliary mixture sampling for parameter-driven models of time series of counts with applications to state space modelling	2006	Sylvia Frühwirth‐Schnatter Helga Wagner	1
+ PDF Chat	Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models	2008	Harald Binder Martin Schumacher	1
+	Bayesian Adaptive Regression Splines for Hierarchical Data	2007	Jamie L. Bigelow David B. Dunson	1
+	Bayesian survival models with smooth time-varying coefficients using penalized Poisson regression	2004	Philippe Lambert Paul H.C. Eilers	1
+	None	2001	Robert Kohn Michael S. Smith David Chan	1
+	Accelerated Failure Time Model for Arbitrarily Censored Data With Smoothed Error Distribution	2005	Arnošt Komárek Emmanuel Lesaffre Joan F. Hilton	1
+	<i>L</i><sub>1</sub> Penalized Estimation in the Cox Proportional Hazards Model	2009	Jelle J. Goeman	1
+ PDF Chat	Propriety of posteriors in structured additive regression models: Theory and empirical evidence	2008	Ludwig Fahrmeir Thomas Kneib	1
+	Mixtures of <i>g</i> Priors for Bayesian Variable Selection	2008	Feng Liang Rui Paulo Germán Molina Merlise A. Clyde James O. Berger	1
+	On the Identification of Trend and Correlation in Temporal and Spatial Regression	2008	Ludwig Fahrmeir Thomas Kneib	1
+	Spatially Adaptive Bayesian Penalized Regression Splines (P-splines)	2005	Veerabhadran Baladandayuthapani Bani K. Mallick Raymond J. Carroll	1
+	Objective Bayesian Variable Selection	2006	George Casella Elı́as Moreno	1