TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the same ...

Proteomic analysis (proteomics) refers to the systematic identification and quantification of the complete complement of proteins (the proteome) of a biological system (cell, tissue, organ, biological ...

Several measurement techniques used in the life sciences gather data for many more variables per sample than the typical number of samples assayed. For instance, DNA microarrays and mass spectrometers ...

Companies say AI will fundamentally change business forever. But what does that change look like, and what are they doing to make it happen? Plus, teen AI founders, humanoid-robot hype, Nvidia’s fresh ...

Get alerts on the UK app about the latest stories from InDepth - the home of the best analysis from BBC correspondents Fergal Keane has met thousands of traumatised children while reporting on ...

Whether you're creating short videos for social media or working on a feature-length film, we've tested and rated the top video editing software for every type of user. I’ve been writing and editing ...

Abstract: The findings of the empirical work focus mainly on establishing how much a multi-class categorization model benefits various populations. The model can appropriately describe the following ...

A reversible instance normalization layer to normalize individual series. A linear embedding layer that projects individual series into the embedding space. Mamba blocks that capture the correlations ...

Abstract: Multivariate time-series (MTS) anomaly detection is of great importance in both condition monitoring and malfunction identification in multisensor systems. Current MTS anomaly detection ...