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Publications by Matthias Seeger
Bayesian Inference for Sparse Generalized Linear Models
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Related publications
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
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Variational Bayesian Inference for Point Process Generalized Linear Models in Neural Spike Trains Analysis
Bayesian Inference for Linear Models Subject to Linear Inequality Constraints
Bayesian and Classical Inference for the Generalized Gamma Distribution and Related Models
Sparse Factorization Methods for Inference in Bayesian Networks
Robust Inference for Generalized Linear Models With Application to Logistic Regression
Statistics and Probability Letters
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Semiparametric Bayesian Inference for Regression Models
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Nonlocal Priors for Bayesian Variable Selection in Generalized Linear Models and Generalized Linear Mixed Models and Their Applications in Biology Data
Glmperm: A Permutation of Regressor Residuals Test for Inference in Generalized Linear Models
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