Multivariate time series analysis is the study of more than one time series over time and the relationships between them. #DataScience #RStats #DataScientist #statistics #dataanalysis #datavisualizations #machinelearning #ArtificialIntelligence #codinglife

Btc dominance probability model built using multivariate time series analysis calculus based curve integration angular momentum mapping and combinatoric matrix rotation of historical price cycles across 15 years data model maps critical thresholds 59.8 58.4 57 ignition window 16

xLSTM for multivariate time series anomaly detection: “In our results, xLSTM showcases state-of-the-art accuracy, outperforming 23 popular anomaly detection baselines.”. Again, xLSTM excels in time series analysis.

Information geometry allows to study information theory from synthetic geometry viewpoint: . Example: Although Chernoff information between multivariate normal distributions not known in closed form, we may still characterize it *exactly geometrically*.

GCAP Day 7. What you missed: .❥ Python least_squares() seems to be a bloated implementation of codes in the "Numerical Recipes" book. ❥ To apply the USL, use curve_fit() instead. ❥ Multivariate regression: How to reattach (noisy) fingers to amputated daily "numero uno" data

There are no nations. There are no peoples. There are no Russians. There are no Arabs. There are no third worlds. There is no West. There is only one holistic system of systems, one vast and immane, interwoven, interacting, multivariate, multinational dominion of dollars.

Zn(II)-Based Multivariate, Multicomponent Metal–Organic Framework as a Highly Sensitive Ratiometric Luminescent Sensor for Rhodamine-B in Edibles | Inorganic Chemistry Kumar, Bisht, and co-workers @InorgChem #zinc #MOFs #rhodamine #ratiometric

The study titled, COVID-19 Vaccination and Cardiovascular Events: A Systematic Review and Bayesian Multivariate Meta-Analysis of Preventive Benefits and Risks, was just published in the International Journal of Preventative Medicine:.

Mathematics for Machine Learning Specialization. 📐 Linear Algebra.🔢 Multivariate Calculus.🔍 PCA.

MGLMMs are especially useful in domains such as biostatistics, psychometrics, and ecology, where repeated measurements, longitudinal data, or nested sampling designs are common. #datascience #RStats #machinelearning #artificial_intelligence #dataviz

Gnoma Mages 🧙🏼‍♂️. Bartering in Web3?.Today it’s clunky, manual, and often single-pair only. @anoma's multiparty multivariate private bartering flips that:.Multi-party, multi-condition swaps, all private, all atomic. 🧵👇. 🤝 What Is Multiparty Bartering in Anoma?.Anoma lets you

Implemented Time Series Forecasting in Chicago Transit dataset using Recurrent Neural Nets 🥳. : Univariate, Multivariate, Next day or n days ahead forecast.: ARMA model family, naive forecast, Simple & Dense RNN, EDA, MAPE, TimeDist layer. here is gist 👇.

This textbook explores applied univariate, bivariate, and multivariate statistics using Python, illustrating how these methods can be employed to extract meaningful insights from data. #DataScience #pythonprogramming #MachineLearning #statisticalanalysis

Assuming we can effectively steer a complex, dynamic, multivariate system like the economy (using a single lever of policy) is the height of hubris. It's not so much that the RBA got it wrong, but more that it's an impossible task. And one with loads of unintended consequences.

Prof. Yao Xie from Georgia Institute of Technology is talking about “Conformal Prediction for Time Series: Beyond Exchangeability and Towards Multivariate Dependence” at MILET workshop @ KDD 2025 #kdd #timeseries #prediction #datamining

You are not a multivariate thinker.

Zn(II)-Based Multivariate, Multicomponent Metal–Organic Framework as a Highly Sensitive Ratiometric Luminescent Sensor for Rhodamine-B in Edibles

'Multivariate Melodies (a Tom Beckett Title)', fantastic poem by Mark Young at Fixator Press today. #poetry #poem #poetrycommunity #poet #smallpress #fixatorpress.

Excited to share a new paper with Djibril Gueye!. A tractable multivariate framework for modeling dependent default times that extends the classical Cox approach.