Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
Scientific Research Publishing

Lee, E. R., Noh, H., & Park, B. U. (2014). Model Selection via Bayesian Information Criterion for Quantile Regression Models. Journal of the American Statistical Association ...

ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...
Scientific Research Publishing

Mai, T. T. (2024). A Sparse Pac-Bayesian Approach for High-Dimensional Quantile Prediction. Statistics and Computing, 35, Article No. 93.

ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...
marktechpost

Google AI’s New Regression Language Model (RLM) Framework Enables LLMs to Predict Industrial System Performance Directly from Raw Text Data

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...
Frontiers

Distributed quantile regression over sensor networks via the primal–dual hybrid gradient algorithm

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...
Frontiers

Toward interpretable expected goals modeling using Bayesian mixed models

Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...
Too Old to Operate

A Bayesian quantile regression approach for determining risk factors of low birth weight of under five children in Cambodia.

Birth weight (BW) is a key indicator of a newborn’s health, survival, and development. It is associated with the risk of childhood mortality and is also related to health, physical growth, emotional ...
Visual Studio Magazine

Neural Network Quantile Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...
GitHub

refundBayes: Bayesian Functional Regression using Stan

Key Features Demonstrated in this Vignette: Fitting a Bayesian functional regression model with scalar (binary and Gaussian) outcomes using Stan. Plotting pointwise and correlation and ...