activity
20172026
most citedPost-Contextual-Bandit Inference

13 citations · 50 across the 28 of their papers we have counts for

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7 papers · 1 filter

math.ST2026

HAL-MLE Log-Splines Density Estimation (Part I: Univariate)

Yilong Hou, Zhengpu Zhao, Yi Li +1

We study nonparametric maximum likelihood estimation of probability densities under a total variation (TV) type penalty, sectional variation norm (also named as Hardy-Krause variat…

math.ST2025

Causal inference via implied interventions

Carlos García Meixide, Mark J. van der Laan

In the context of having an instrumental variable, the standard practice in causal inference begins by targeting an effect of interest and proceeds by formulating assumptions enabl…

math.ST20241 cited

Estimating conditional hazard functions and densities with the highly-adaptive lasso

Anders Munch, Thomas A. Gerds, Mark J. van der Laan +1

We consider estimation of conditional hazard functions and densities over the class of multivariate càdlàg functions with uniformly bounded sectional variation norm when data are e…

math.ST2023

Nonparametric estimation of a covariate-adjusted counterfactual treatment regimen response curve

Ashkan Ertefaie, Luke Duttweiler, Brent A. Johnson +1

Flexible estimation of the mean outcome under a treatment regimen (i.e., value function) is the key step toward personalized medicine. We define our target parameter as a condition…

math.ST2018

Correcting an estimator of a multivariate monotone function with isotonic regression

Ted Westling, Mark van der Laan, Marco Carone

In many problems, a sensible estimator of a possibly multivariate monotone function may itself fail to be monotone. We study the correction of such an estimator obtained via projec…

math.ST2018

Robust Estimation of Data-Dependent Causal Effects based on Observing a Single Time-Series

Mark J. van der Laan, Ivana Malenica

Consider the case that one observes a single time-series, where at each time t one observes a data record O(t) involving treatment nodes A(t), possible covariates L(t) and an outco…