User profiles for Martin Mächler
Martin MächlerAdjunct Professor, ETH Zurich Verified email at stat.math.ethz.ch Cited by 74924 |
Causal inference using graphical models with the R package pcalg
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 …
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 …
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
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, …
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 …
space. R is a “language for data analysis and graphics”. In this paper we discuss the …
[BOOK][B] Elements of copula modeling with R
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 …
modeling of multivariate continuous distributions using copulas can be carried out in the …
Nested Archimedean copulas meet R: The nacopula package
The package nacopula provides procedures for constructing nested Archimedean copulas
in any dimensions and with any kind of nesting structure, generating vectors of random …
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
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 …
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 …
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
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. …
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 …
including tumour necrosis factor (TNF), and levels of TNF are also related to polymorphisms in …