Martin Mächler

Board of the Swiss Federal Institutes of Technology — Switzerland

Economics, Econometrics and Finance · Social Sciences

17h-index98.3kcitations46works0.32yr avg
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Research Topics

Financial Risk and Volatility Modeling(12), Statistical Methods and Inference(8), Data Analysis with R(8), Statistical Methods and Bayesian Inference(6), Advanced Statistical Methods and Models(5)

Publications46 total

From Image Series to Resilient Soybean Genotypes: Transformer-Based Canopy Cover Extraction and Weather-Informed Nonlinear Modeling
2026
From images to canopy cover growth predictions informed by short-term weather data using transformers and non-linear modeling in soybean breeding lines
2025Open Access
Are the same parameters measured at admission and in the ICU comparable in their predictive values for complication and mortality in severely injured patients?
European journal of medical research·2025· 1 citedOpen Access
Methods for Graphical Models and Causal Inference [R package pcalg version 2.7-3]
2021· 1 cited
R MPFR - Multiple Precision Floating-Point Reliable [R package Rmpfr version 0.8-4]
2021
Rounding to Decimal Digits [R package round version 0.20-0]
2021
Various R Programming Tools for Plotting Data [R package gplots version 3.1.1]
2020· 6 cited
Estimation
Use R!·2018
Copulas
Use R!·2018· 12 cited
Introduction
Use R!·2018· 5 cited
Ties, Time Series, and Regression
Use R!·2018
Classes and Families
Use R!·2018
Graphical Diagnostics, Tests, and Model Selection
Use R!·2018
Modeling zero-inflated count data with glmmTMB
2017· 407 citedOpen Access
glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
The R Journal·2017· 11.4k citedOpen Access
Parallel and Other Simulations in<i>R</i>Made Easy: An End-to-End Study
Journal of Statistical Software·2016· 16 citedOpen Access
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Journal of Statistical Software·2015· 81.3k citedOpen Access
Fitting Linear Mixed-Effects Models Using lme4
arXiv (Cornell University)·2014· 2.6k citedOpen Access
A Graphical Goodness-of-Fit Test for Dependence Models in Higher Dimensions
Figshare·2014Open Access
A Graphical Goodness-of-Fit Test for Dependence Models in Higher Dimensions
Figshare·2014Open Access
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Frequent Co-authors

Marius Hofert(15), Ivan Kojadinovic(6), Jun Yan(6), Benjamin M. Bolker(5), Árni Magnússon(4), Peter Bühlmann(4), Douglas M. Bates(3), Markus Kalisch(3), Alexander J. McNeil(3), Steve Walker(2), M. Brooks(2), Kasper Kristensen(2), Koen J. van Benthem(2), Casper Willestofte Berg(2), Anders Nielsen(2), Marloes H. Maathuis(2), Lodewijk Bonebakker(2), Robert Gentleman(2), Thomas Lumley(2), Steffen Moeller(2)