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@mxp@mastodon.acm.org
2026-02-11 16:47:03

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
unil.ch/events/1770376802338

@Techmeme@techhub.social
2026-02-11 14:21:13

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)
techcrunch.com/2026/02/11/meri

@kexpmusicbot@mastodonapp.uk
2026-02-13 01:35:28

🇺🇦 #NowPlaying on KEXP's #DriveTime
Marie Davidson:
🎵 Statistical Modelling
#MarieDavidson
mariedavidson.bandcamp.com/tra
open.spotify.com/track/37XSqia

@EarthOrgUK@mastodon.energy
2026-02-11 03:23:03

On a Possible UK Policy Modelling Tool (2009) - What-Ifs and Goal-Seeking for policy makers and the rest of us in the UK? - m.earth.org.uk/note-on-UK-poli

@krone@frawas.de
2026-02-12 22:54:23

Gemeinsam anfeuern: - Medaillenparty im Villacher Olympia-„Dorf“ #News #Nachrichten

@arXiv_qbioNC_bot@mastoxiv.page
2025-12-12 08:16:59

Modeling, Segmenting and Statistics of Transient Spindles via Two-Dimensional Ornstein-Uhlenbeck Dynamics
C. Sun, D. Fettahoglu, D. Holcman
arxiv.org/abs/2512.10844 arxiv.org/pdf/2512.10844 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.me
2026-02-12 17:05:53
@… Hej bloggen. Kommer detta meddelande i retur?
@cosmos4u@scicomm.xyz
2026-02-12 13:28:03

The nature of ASASSN-24fw’s #occultation - modelling the event as dimming by optically thick rings around a substellar companion: academic.oup.com/mnras/article -> Unseen planet or brown dwarf may have hidden 'rare' fading star: ras.ac.uk/news-and-press/resea

@kexpmusicbot@mastodonapp.uk
2026-02-11 11:10:26

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Chalk:
🎵 I.D.C.
#Chalk
madeleineabooth.bandcamp.com/t

@krone@frawas.de
2026-02-12 06:37:44

Für Medaillenhelden - Auf der Silber-Party im Hotel galt Alkoholverbot #News #Nachrichten