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A Simple Unified Approach to Testing High-Dimensional Conditional
  Independences for Categorical and Ordinal Data

A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data

9 June 2022
Ankur Ankan
J. Textor
    CML
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Papers citing "A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data"

2 / 2 papers shown
Title
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,708
0
18 Aug 2015
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
164
2,567
0
28 Mar 2008
1