note

Copying "Introduction to Data Analysis with Bayesian Statistical Modeling" in Python and PyMC - Vol. 14 Poisson Regression Model

Author of the book: Dr. Shinya BabaThis article is a Python transcription record of Chapter 8, Part 3, "Poisson Regression Model" from the book "Introduction to Data Analysis with Bayesian Statistical ...
LinkedIn

"A Practical Guide to Estimating Probability of Default Using Bayesian Statistics in Python"

Credit risk modelling is a cornerstone of modern finance, enabling lenders to quantify the risk that a borrower will default on their obligations. One of the most important metrics in this domain is ...
GitHub

Python Toolkit for Uncertainty Quantification (PyTUQ)

The Python Toolkit for Uncertainty Quantification (PyTUQ) is a Python-only collection of libraries and tools designed for quantifying uncertainty in computational models. PyTUQ offers a range of UQ ...
Scientific Research Publishing

Social Media: A Public Deliberation or a Social Accountability in Morocco ()

1 Faculty of Science and Techniques, Moulay Ismail University, Meknes, Morocco. 2 Multidisciplinary Faculty, Moulay Ismail University, Meknes, Morocco. Social media is increasingly providing a wide ...
ascopubs.org

Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation

The quality of radiotherapy auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of clinician-derived ...
Nature

Application of the performance of machine learning techniques as support in the prediction of school dropout

School dropout data were considered because it has been studied from different approaches and whose figures indicate that there is work to be done 1. Dropping out of school can be defined as the ...
C&EN

Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Visual Studio Magazine

Gaussian Process Regression Using the scikit Library

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...
LinkedIn

Bayesian Estimation: A Practical Guide with Python and scikit-learn

In Python, we can perform Bayesian estimation using the scikit-learn library. Scikit-learn provides a BayesianRidge class that can be used to perform Bayesian linear regression. It uses a Bayesian ...
Frontiers

Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation

This paper presents a new Bayesian method for analyzing Ecological Momentary Assessment (EMA) data and applies this method in a re-analysis of data from a previous EMA study. The analysis method has ...