43 citations · 61 across the 5 of their papers we have counts for
5 papers
Fitting Stochastic Lattice Models Using Approximate Gradients
Jan Schering, Sander Keemink, Johannes Textor
Stochastic lattice models (sLMs) are computational tools for simulating spatiotemporal dynamics in physics, computational biology, chemistry, ecology, and other fields. Despite the…
Implementing Immune Repertoire Models Using Weighted Finite State Machines
Gijs Schröder, Inge MN Wortel, Johannes Textor
The adaptive immune system's T and B cells can be viewed as large populations of simple, diverse classifiers. Artificial immune systems (AIS) $\unicode{x2013}$ algorithmic models o…
pgmpy: A Python Toolkit for Bayesian Networks
Ankur Ankan, Johannes Textor
Bayesian Networks (BNs) are used in various fields for modeling, prediction, and decision making. pgmpy is a python package that provides a collection of algorithms and tools to wo…
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models
Ankur Ankan, Inge Wortel, Kenneth A. Bollen +1
Measurement error is ubiquitous in many variables - from blood pressure recordings in physiology to intelligence measures in psychology. Structural equation models (SEMs) account f…
Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective
Johannes Textor, Maciej Liskiewicz
Identifying and controlling bias is a key problem in empirical sciences. Causal diagram theory provides graphical criteria for deciding whether and how causal effects can be identi…