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Publications by Lukas Vlcek
Statistical Physics-Based Framework and Bayesian Inference for Model Selection and Uncertainty Quantification
Microscopy and Microanalysis
Instrumentation
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Statistical Inference After Model Selection
Journal of Quantitative Criminology
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Pathology
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A Unified Framework for Multilevel Uncertainty Quantification in Bayesian Inverse Problems
Probabilistic Engineering Mechanics
Condensed Matter Physics
Mechanical Engineering
Civil
Ocean Engineering
Nuclear Energy
Structural Engineering
Nonlinear Physics
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Aerospace Engineering
NetDiff – Bayesian Model Selection for Differential Gene Regulatory Network Inference
Scientific Reports
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Principles of Statistical Inference: Likelihood and the Bayesian Paradigm
The Paleontological Society Papers
Parameter Estimation for Physiologically Based Pharmacokinetics Model Using Bayesian Inference
IFAC Proceedings Volumes
A Comparison of Two Bayesian Approaches for Uncertainty Quantification
Environmental Modelling and Software
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A Bayesian Approach for Uncertainty Quantification of Extreme Precipitation Projections Including Climate Model Interdependency and Nonstationary Bias
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Bayesian Inference for Color Image Quantization via Model-Based Clustering Trees
A Bayesian Approach for Uncertainty Quantification in Elliptic Cauchy Problem
Lecture Notes in Applied and Computational Mechanics
Computational Theory
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Mathematics
