BioStem Technologies, Inc.: BioStem Technologies Highlights Alignment with FDA's Openness to Bayesian Statistical Approaches in Clinical Research

BioStem Technologies, Inc. (OTC: BSEM), a leading MedTech company focused on the development, manufacturing, and commercialization of perinatal ...
IEEE

Bayesian weighted Dynamic Distribution of Samples-based Remote Sensing Feature Selection Method

Abstract: Feature selection is basic and important research for extracting valuable information from high-dimensional remote sensing features. However, high-dimensional data contains redundancy and ...

BioStem Technologies Highlights Alignment with FDA’s Openness to Bayesian Statistical Approaches in Clinical Research

BioStem remains committed to advancing evidence-based innovation in wound care through rigorous clinical research and real-world data analysis, supported by its proprietary BioRetain ® process and ...
C&EN

Adaptive Distribution of Relaxation Time Analysis Using Bayesian Mixtures

Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon 999077, Hong Kong, China Bavarian Center for Battery Technology ...
GitHub

FitPDF: Bayesian distribution fitting for pulsar and FRB data

FitPDF fits complex mixture models of various distributions to observational data. This is useful, for instance, for characterising the observed pulse energy distributions of radio pulsars and ...
Scientific Research Publishing

Rahman, A. and Khan, S. (2007) Prediction Distribution for Linear Regression Model with Multivariate Student-T Errors under the Bayesian Approach.

ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...
IEEE

Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models

Abstract: Positron Emission Tomography (PET) is a valuable imaging method for studying molecular-level processes in the body, such as hyperphosphorylated tau (ptau) protein aggregates, a hallmark of ...
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 ...
GitHub

GaussianNonLinearCalibration.drawParameterDistributions() has a wrong label

The GaussianNonLinearCalibration.getResult().drawParameterDistributions() method draws the prior distribution of the parameters to calibrate. It also plots the distribution of the parameters obtained ...