If you’re interested in the theory and epistemology of digital and computational humanities, especially in the context of historical research:
Call for Participation
🞲 Workshop on Structure and Interpretation: Towards Computational Historiographical Modeling
https://www.unil.ch/events/1770376802338
Meridian, which uses AI to make financial modeling and spreadsheets more "predictable and auditable", exits stealth and raised a $17M seed at a $100M valuation (Russell Brandom/TechCrunch)
https://techcrunch.com/2026/02/11/meridian…
🇺🇦 #NowPlaying on KEXP's #DriveTime
Marie Davidson:
🎵 Statistical Modelling
#MarieDavidson
https://mariedavidson.bandcamp.com/track/statistical-modelling
https://open.spotify.com/track/37XSqiafmhy5Uw0uw0sY97
On a Possible UK Policy Modelling Tool (2009) - What-Ifs and Goal-Seeking for policy makers and the rest of us in the UK? - https://m.earth.org.uk/note-on-UK-policy-modelling-tool.html
Gemeinsam anfeuern: - Medaillenparty im Villacher Olympia-„Dorf“ #News #Nachrichten
Modeling, Segmenting and Statistics of Transient Spindles via Two-Dimensional Ornstein-Uhlenbeck Dynamics
C. Sun, D. Fettahoglu, D. Holcman
https://arxiv.org/abs/2512.10844 https://arxiv.org/pdf/2512.10844 https://arxiv.org/html/2512.10844
arXiv:2512.10844v1 Announce Type: new
Abstract: We develop here a stochastic framework for modeling and segmenting transient spindle- like oscillatory bursts in electroencephalogram (EEG) signals. At the modeling level, individ- ual spindles are represented as path realizations of a two-dimensional Ornstein{Uhlenbeck (OU) process with a stable focus, providing a low-dimensional stochastic dynamical sys- tem whose trajectories reproduce key morphological features of spindles, including their characteristic rise{decay amplitude envelopes. On the signal processing side, we propose a segmentation procedure based on Empirical Mode Decomposition (EMD) combined with the detection of a central extremum, which isolates single spindle events and yields a collection of oscillatory atoms. This construction enables a systematic statistical analysis of spindle features: we derive empirical laws for the distributions of amplitudes, inter-spindle intervals, and rise/decay durations, and show that these exhibit exponential tails consistent with the underlying OU dynamics. We further extend the model to a pair of weakly coupled OU processes with distinct natural frequencies, generating a stochastic mixture of slow, fast, and mixed spindles in random temporal order. The resulting framework provides a data- driven framework for the analysis of transient oscillations in EEG and, more generally, in nonstationary time series.
toXiv_bot_toot
@axbom@axbom.meThe nature of ASASSN-24fw’s #occultation - modelling the event as dimming by optically thick rings around a substellar companion: https://academic.oup.com/mnras/article/546/3/staf2251/8471205?login=false -> Unseen planet or brown dwarf may have hidden 'rare' fading star: https://ras.ac.uk/news-and-press/research-highlights/unseen-planet-or-brown-dwarf-may-have-hidden-rare-fading-star
🇺🇦 #NowPlaying on KEXP's #VarietyMix
Chalk:
🎵 I.D.C.
#Chalk
https://madeleineabooth.bandcamp.com/track/pull-i
Für Medaillenhelden - Auf der Silber-Party im Hotel galt Alkoholverbot #News #Nachrichten