9 citations · 10 across the 5 of their papers we have counts for
8 papers
Causal discovery for observational sciences using supervised machine learning
Anne Helby Petersen, Joseph Ramsey, Claus Thorn Ekstrøm +1
Causal inference can estimate causal effects, but unless data are collected experimentally, statistical analyses must rely on pre-specified causal models. Causal discovery algorith…
Ranking of average treatment effects with generalized random forests for time-to-event outcomes
Helene C. W. Rytgaard, Claus T. Ekstrøm, Lars V. Kessing +1
In this paper we present a data-adaptive estimation procedure for estimation of average treatment effects in a time-to-event setting based on generalized random forests. In these k…
Having a Ball: evaluating scoring streaks and game excitement using in-match trend estimation
Claus Thorn Ekstrøm, Andreas Kryger Jensen
Many popular sports involve matches between two teams or players where each team have the possibility of scoring points throughout the match. While the overall match winner and res…
Evaluating one-shot tournament predictions
Claus Thorn Ekstrøm, Hans Van Eetvelde, Christophe Ley +1
We introduce the Tournament Rank Probability Score (TRPS) as a measure to evaluate and compare pre-tournament predictions, where predictions of the full tournament results are requ…
Quantifying the Trendiness of Trends
Andreas Kryger Jensen, Claus Thorn Ekstrøm
News media often report that the trend of some public health outcome has changed. These statements are frequently based on longitudinal data, and the change in trend is typically f…
Moment-based Estimation of Mixtures of Regression Models
Claus Thorn Ekstrøm, Christian Bressen Pipper
Finite mixtures of regression models provide a flexible modeling framework for many phenomena. Using moment-based estimation of the regression parameters, we develop unbiased estim…