Sponsor of the Day:
Jerkmate
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