Circular Image

A.W. van der Vaart

6 records found

Chapter 1 (Caliper Matching): Caliper matching is used to estimate causal effects of a binary treatment from observational data by comparing matched treated and control units. Units are matched when their propensity scores, the conditional probability of receiving treatment given ...

Proximal Causal Inference

Adjusting for the Unobserved

Causal relationships are at the heart of the scientific method. The causal revolution of the 21st century has opened the doors for many new approaches to quantify such relationships. In this thesis, we study the novel framework of proximal causal inference, which enables estimati ...

Causal inference with invalid instruments

Analysis of three different approaches for linear and non-linear models

Suppose that we want to infer the effect of a treatment on a certain outcome, where both the treatment and outcome are influenced by other variables. It has been well-established that in the linear setting, in case we know beforehand which of these other variables are instrumenta ...

Bayesian deep learning

Insights in the Bayesian paradigm for deep learning

In this thesis, we study a particle method for Bayesian deep learning. In particular, we look at the estimation of the parameters of an ensemble of Bayesian neural networks by means of this particle method, called Stein variational gradient descent (SVGD). This method iteratively ...

Bayesian Sensitivity Analysis for a Missing Data Model

Incorporating Covariates via a Cox Model

In problems with missing data, the data are often considered to be missing at random. This assumption can not be checked from the data. We need to assess the sensitivity of study conclusions to violations of non-identifiable assumptions. This thesis performs Bayesian sensitivity ...