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https://danmackinlay.name/notebook/graphical_models_time_series_learning.html Learning graphical models from time series — The Dan MacKinlay stable of variably-well-consider’d... Wherein causal links among multivariate time series are sought by statistical discovery, attention being given to linear Granger tests, PCMCI variants, and... dan mackinlay stablegraphical modelstime seriesvariably welllearning https://arxiv.org/abs/1609.02542 [1609.02542] Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models Abstract page for arXiv paper 1609.02542: Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models assisted learninghardware embeddedgraphical models1609quantum https://eps.leeds.ac.uk/faculty-engineering-physical-sciences/events/event/6462/lasr-2026-statistics-deep-learning-and-graphical-models LASR 2026: Statistics, Deep Learning and Graphical Models | Faculty of Engineering and Physical... Join us for the upcoming Leeds Annual Statistical Research (LASR) Workshop on 29 - 30 June 2026. 2026 statisticsdeep learninggraphical modelsengineering physicallasr https://danmackinlay.name/notebook/graphical_models_learning.html Learning graphical models from data — The Dan MacKinlay stable of variably-well-consider’d... Wherein methods for inferring independence graphs from data are surveyed, and a continuous‑optimization approach to learning directed acyclic graphs via a... dan mackinlay stablegraphical modelsvariably welllearningdata https://danmackinlay.name/notebook/graphical_models_directed.html Directed graphical models — The Dan MacKinlay stable of variably-well-consider’d enterprises Wherein directed graphical models are described as DAGs, causal interpretations are considered, Simpson’s paradox is exhibited, and a Julia BayesNets package... dan mackinlay stablegraphical modelsvariably welldirectedenterprises