Borrowing concepts from Independence (probability theory), Achim Zeileis weaves in ideas under Statistics. His Artificial intelligence study frequently links to other fields, such as Class (philosophy). Many of his studies on Class (philosophy) apply to Artificial intelligence as well. He integrates Machine learning and Theoretical computer science in his research. Theoretical computer science and Machine learning are two areas of study in which Achim Zeileis engages in interdisciplinary work. Achim Zeileis integrates several fields in his works, including Algorithm and Computation. In his articles, Achim Zeileis combines various disciplines, including Computation and Algorithm. Borrowing concepts from Ordinary least squares, Achim Zeileis weaves in ideas under Econometrics. He performs multidisciplinary study in Ordinary least squares and Econometrics in his work.
Achim Zeileis links adjacent fields of study such as Regression and Regression analysis in the subject of Statistics. He performs integrative study on Artificial intelligence and Inference in his works. Achim Zeileis connects Inference with Artificial intelligence in his study. He integrates Machine learning and Data mining in his studies. By researching both Data mining and Machine learning, Achim Zeileis produces research that crosses academic boundaries. He undertakes interdisciplinary study in the fields of Algorithm and Statistics through his works.
Achim Zeileis is involved in relevant fields of research such as Gaussian and Calibration in the field of Quantum mechanics. His research links Quantum mechanics with Gaussian. His Statistics study frequently draws connections to other fields, such as Maximum likelihood. His Artificial intelligence study frequently draws connections to other fields, such as Object (grammar). Much of his study explores Object (grammar) relationship to Artificial intelligence. Achim Zeileis performs integrative study on Meteorology and Wind speed. He combines topics linked to Probabilistic forecasting with his work on Probabilistic logic. His research on Probabilistic forecasting frequently links to adjacent areas such as Probabilistic logic. He connects Econometrics with Ordinary least squares in his study.
Much of his study explores Meteorology relationship to Ensemble forecasting and Training (meteorology). His Training (meteorology) study often links to related topics such as Meteorology. His study connects Probabilistic logic and Statistics. Probabilistic logic is closely attributed to Statistics in his study. His research is interdisciplinary, bridging the disciplines of Object (grammar) and Artificial intelligence. His work in Operating system is not limited to one particular discipline; it also encompasses Palette (painting). His research combines Operating system and Palette (painting). Achim Zeileis integrates many fields, such as Inference and Artificial intelligence, in his works. Achim Zeileis incorporates Ordinary least squares and Econometrics in his research.
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Unbiased Recursive Partitioning: A Conditional Inference Framework
Torsten Hothorn;Kurt Hornik;Achim Zeileis.
Journal of Computational and Graphical Statistics (2006)
Bias in random forest variable importance measures: Illustrations, sources and a solution
Carolin Strobl;Anne-Laure Boulesteix;Achim Zeileis;Torsten Hothorn.
BMC Bioinformatics (2007)
Conditional variable importance for random forests
Carolin Strobl;Anne Laure Boulesteix;Thomas Kneib;Thomas Augustin.
BMC Bioinformatics (2008)
Regression Models for Count Data in R
Achim Zeileis;Christian Kleiber;Simon Jackman.
Journal of Statistical Software (2008)
kernlab - An S4 Package for Kernel Methods in R
Alexandros Karatzoglou;Alexandros Smola;Kurt Hornik;Achim Zeileis.
Journal of Statistical Software (2004)
Beta Regression in R
Francisco Cribari-Neto;Achim Zeileis.
Journal of Statistical Software (2010)
Diagnostic Checking in Regression Relationships
Achim Zeileis;Torsten Hothorn.
(2015)
Implementing a class of permutation pests: the coin package
Torsten Hothorn;Kurt Hornik;Mark A. van de Wiel;Achim Zeileis.
Journal of Statistical Software (2008)
Econometric Computing with HC and HAC Covariance Matrix Estimators
Achim Zeileis.
Journal of Statistical Software (2004)
strucchange. An R package for testing for structural change in linear regression models.
Achim Zeileis;Friedrich Leisch;Kurt Hornik;Christian Kleiber.
Journal of Statistical Software (2002)
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