User profiles for Martin Mächler

Martin Mächler

Adjunct Professor, ETH Zurich
Verified email at stat.math.ethz.ch
Cited by 74924

Causal inference using graphical models with the R package pcalg

M Kalisch, M Mächler, D Colombo… - Journal of statistical …, 2012 - jstatsoft.org
The pcalg package for R can be used for the following two purposes: Causal structure learning
and estimation of causal effects from observational data. In this document, we give a brief …

Variable length Markov chains: methodology, computing, and software

M Mächler, P Bühlmann - Journal of Computational and Graphical …, 2004 - Taylor & Francis
This article presents a tutorial and new, publicly available computational tools for variable
length Markov chains (VLMC). VLMCs are Markov chains with the additional attractive …

glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling

…, A Nielsen, HJ Skaug, M Machler… - The R …, 2017 - research-collection.ethz.ch
Count data can be analyzed using generalized linear mixed models when observations are
correlated in ways that require random effects. However, count data are often zero-inflated, …

Scatterplot3d-an r package for visualizing multivariate data

U Ligges, M Mächler - 2002 - econstor.eu
Scatterplot3d is an R package for the visualization of multivariate data in a three dimensional
space. R is a “language for data analysis and graphics”. In this paper we discuss the …

[BOOK][B] Elements of copula modeling with R

M Hofert, I Kojadinovic, M Mächler, J Yan - 2018 - Springer
This book introduces the main theoretical findings related to copulas and shows how statistical
modeling of multivariate continuous distributions using copulas can be carried out in the …

Nested Archimedean copulas meet R: The nacopula package

M Hofert, M Mächler - Journal of Statistical Software, 2011 - research-collection.ethz.ch
The package nacopula provides procedures for constructing nested Archimedean copulas
in any dimensions and with any kind of nesting structure, generating vectors of random …

[HTML][HTML] Likelihood inference for Archimedean copulas in high dimensions under known margins

M Hofert, M Mächler, AJ McNeil - Journal of Multivariate Analysis, 2012 - Elsevier
Explicit functional forms for the generator derivatives of well-known one-parameter Archimedean
copulas are derived. These derivatives are essential for likelihood inference as they …

Robust regression: A weighted least squares approach

S Chatterjee, M Mächler - Communications in Statistics-Theory and …, 1997 - Taylor & Francis
Robust regression has not had a great impact on statistical practice, although all statisticians
are convinced of its importance. The procedures for robust regression currently available …

Archimedean copulas in high dimensions: Estimators and numerical challenges motivated by financial applications

M Hofert, M Mächler, AJ McNeil - Journal de la Société Française de …, 2013 - numdam.org
Les pratiques du moment en gestion quantitative du risque nous amènent à étudier des
modèles de dépendance en grandes dimensions construits à partir de copules Archimédiennes. …

Joint effect of obesity and TNFA variability on asthma: two international cohort studies

…, R de Cid, D Jarvis, M Mächler… - European …, 2009 - Eur Respiratory Soc
Obesity is a risk factor for asthma. Adipose tissue expresses pro-inflammatory molecules
including tumour necrosis factor (TNF), and levels of TNF are also related to polymorphisms in …