Capture-Recapture Methods for the Social and Medical Sciences Page 1 Page 2 Chapman &
Hall/CRC Interdisciplinary Statistics Series Edited by Dankmar Böhning Peter GM van der …

Nested Markov properties for acyclic directed mixed graphs Page 1 The Annals of Statistics
2023, Vol. 51, No. 1, 334–361 https://doi.org/10.1214/22-AOS2253 © Institute of …

Programmatic weak supervision creates models without hand-labeled training data by
combining the outputs of heuristic labelers. Existing frameworks make the restrictive …

Unobserved confounding is a fundamental obstacle to establishing valid causal conclusions
from observational data. Two complementary types of approaches have been developed to …

Creating labeled training sets has become one of the major roadblocks in machine learning.
To address this, recent\emph {Weak Supervision (WS)} frameworks synthesize training …

Unless strong assumptions are made, nonparametric identification of principal causal effects
can only be partial and bounds (or sets) for the causal effects are established. In the …

We present algebraic techniques to analyze state space models in the areas of structural
identifiability, observability, and indistinguishability. While the emphasis is on surveying …

Graphical Markov models combine conditional independence constraints with graphical
representations of stepwise data generating processes. The models started to be formulated …

This chapter argues that both issues, of uncertainty of detection and uncertainty of state
identification, are present in the data at hand. It provides to a capture–recapture setting …

Bayesian networks are widely utilised in various fields, offering elegant representations of
factorisations and causal relationships. We use surjective functions to reduce the …