Search Results - "Hornik, Kurt"

Journal Article

Unbiased Recursive Partitioning: A Conditional Inference Framework

by Hothorn, Torsten Hornik, Kurt Zeileis, Achim Published in Journal of computational and graphical statistics (01.09.2006)

“...Recursive binary partitioning is a popular tool for regression analysis. Two fundamental problems of exhaustive search procedures usually applied to fit such...”

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Journal Article

Model-Based Recursive Partitioning

by Zeileis, Achim Hothorn, Torsten Hornik, Kurt Published in Journal of computational and graphical statistics (01.06.2008)

“...Recursive partitioning is embedded into the general and well-established class of parametric models that can be fitted using M-type estimators (including...”

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Journal Article

Open-source machine learning: R meets Weka

by Hornik, Kurt Hornik, Kurt Buchta, Christian Buchta, Christian Zeileis, Achim Zeileis, Achim Published in Computational statistics (01.05.2009)

“...Two of the prime open-source environments available for machine/statistical learning in data mining and knowledge discovery are the software packages Weka and...”

Journal Article

Multivariate ordinal regression models: an analysis of corporate credit ratings

by Hirk, Rainer Hirk, Rainer Hornik, Kurt Hornik, Kurt Vana, Laura Vana, Laura Published in Statistical methods & applications (01.09.2019)

“...Correlated ordinal data typically arises from multiple measurements on a collection of subjects. Motivated by an application in credit risk, where multiple...”

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Journal Article

A Lego System for Conditional Inference

by Hothorn, Torsten Hornik, Kurt van de Wiel, Mark A Zeileis, Achim Published in The American statistician (01.08.2006)

“...Conditioning on the observed data is an important and flexible design principle for statistical test procedures. Although generally applicable, permutation...”

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Journal Article

topicmodels: An R Package for Fitting Topic Models

by Grün, Bettina Hornik, Kurt Published in Journal of Statistical Software (01.05.2011)

“...Topic models allow the probabilistic modeling of term frequency occurrences in documents. The fitted model can be used to estimate the similarity between...”

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Journal Article

Residual-Based Shadings for Visualizing (Conditional) Independence

by Zeileis, Achim Meyer, David Hornik, Kurt Published in Journal of computational and graphical statistics (01.09.2007)

“...Residual-based shadings for enhancing mosaic and association plots to visualize independence models for contingency tables are extended in two directions: (a)...”

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Journal Article

How to derive consensus among various marketing journal rankings?

by Theuβl, Stefan Reutterer, Thomas Hornik, Kurt Published in Journal of business research (01.05.2014)

“...Despite the increasing popularity of journal rankings to evaluate the quality of research contributions, the individual rankings for journals that ranked below...”

Journal Article

A GABRB3 promoter haplotype associated with childhood absence epilepsy impairs transcriptional activity

by URAK, Lydia FEUCHT, Martha FATHI, Nahid HORNIK, Kurt FUCHS, Karoline Published in Human molecular genetics (2006)

“...Childhood absence epilepsy (CAE) is considered to exhibit a complex non-Mendelian pattern of inheritance. So far, only few CAE susceptibility genes have been...”

Journal Article

Text Mining Infrastructure in R

by Kurt Hornik Ingo Feinerer David Meyer Published in Journal of statistical software (31.03.2008)

“...During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tm package which...”

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Journal Article

Generalized M‐fluctuation tests for parameter instability

by Zeileis, Achim Hornik, Kurt Published in Statistica Neerlandica (01.11.2007)

“...A general class of fluctuation tests for parameter instability in an M‐estimation framework is suggested. Tests from this framework can be constructed by first...”

Journal Article

On maximum likelihood estimation of the concentration parameter of von Mises–Fisher distributions

by Hornik, Kurt Hornik, Kurt Grün, Bettina Grün, Bettina Published in Computational statistics (01.10.2014)

“...Maximum likelihood estimation of the concentration parameter of von Mises–Fisher distributions involves inverting the ratio $$R_\nu = I_{\nu +1} / I_\nu $$ R ν...”

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Journal Article

Implementing a Class of Permutation Tests: The coin Package

by Hothorn, Torsten Hornik, Kurt Wiel, Mark A Zeileis, Achim Published in Journal of statistical software (01.11.2008)

“...The R package coin implements a unified approach to permutation tests providing a huge class of independence tests for nominal, ordered, numeric, and censored...”

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Journal Article

Dissimilarity Plots: A Visual Exploration Tool for Partitional Clustering

by Hahsler, Michael Hornik, Kurt Published in Journal of computational and graphical statistics (01.01.2011)

“...For hierarchical clustering, dendrograms are a convenient and powerful visualization technique. Although many visualization methods have been suggested for...”

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Journal Article

kernlab - An S4 Package for Kernel Methods in R

by Karatzoglou, Alexandros Smola, Alex Hornik, Kurt Zeileis, Achim Published in Journal of Statistical Software (01.11.2004)

“...kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 object model and provides a framework for...”

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Journal Article

On standard conjugate families for natural exponential families with bounded natural parameter space

by Hornik, Kurt Grün, Bettina Published in Journal of multivariate analysis (01.04.2014)

“...Diaconis and Ylvisaker (1979) give necessary conditions for conjugate priors for distributions from the natural exponential family to be proper as well as to...”

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Journal Article

Monitoring Structural Change in Dynamic Econometric Models

by Achim Zeileis Friedrich Leisch Christian Kleiber Kurt Hornik Published in Journal of applied econometrics (Chichester, England) (01.01.2005)

“...The classical approach to testing for structural change employs retrospective tests using a historical data set of a given length. Here we consider a wide...”

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