#statistical-modeling

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fromHackernoon
1 month ago

GPLVM for Single-Cell RNA-seq Dimensionality Reduction | HackerNoon

In this section, we delve into the various BGPLVM (Bayesian Gaussian Process Latent Variable Model) architectures currently established in the literature, focusing on their variational distributions.
Scala
fromHackernoon
1 month ago

Efficient Bayesian Power Prior Survival Modeling with BayesPPDSurv | HackerNoon

The BayesPPDSurv R package allows for Bayesian analysis of time-to-event outcomes by integrating historical data to inform treatment effects, enhancing clinical trial efficiency.
Data science
fromHackernoon
7 months ago

Frechet Means, Concentration, and Serial Dependence in Non-Euclidean Time Series | HackerNoon

In addressing the limitations of non-parametric methods, our adaptation of the classical linear autoregressive model enables effective analysis of time series data in Hadamard spaces.
Data science
Marketing tech
fromMarTech
4 months ago

What is the R programming language, and how is it used in marketing? | MarTech

R is a powerful programming language used in marketing for data analysis, visualization, and statistical modeling.
philosophy
fromHackernoon
7 months ago

Understanding Knowledge Collapse and Its Relation to Historical and Current Knowledge | HackerNoon

Wider tails in data distribution exacerbate knowledge collapse, moving public knowledge further from true knowledge.
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