Reason

How To Speed Up the Search for Cures Through a Change in Probability Theory

Marty Makary was appointed commissioner of the Food and Drug Administration (FDA) in 2025. The prominent surgeon, medical researcher, bestselling author, and critic of the medical ...
GitHub

Omnidirectional Robot: Identification and State Estimation

This repository contains the main codebase for the undergraduate thesis: "Fusión de sensores para el seguimiento de trayectorias en vehículos autónomos mediante modelos probabilísticos" (Sensor Fusion ...
TCTMD

Case Examples of Bayesian Study Designs Used to Accelerate Assessments of Device Safety and Efficacy in SHD

Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...
Frontiers

Bayesian estimation of orientation and direction tuning captures parameter uncertainty

This study explores the efficacy of Bayesian estimation in modeling the orientation and direction selectivity of neurons in the primary visual cortex (V1). Unlike traditional methods such as least ...
Scientific Research Publishing

Helman, S.K., Thompson, R.A. and Fox, S.E. (2020) Bayesian Latent Class Analysis to Estimate Disease Prevalence and Diagnostic Test Accuracy in Wildlife Populations. Preventive ...

ABSTRACT: Accurate estimation of disease prevalence is crucial for effective public health intervention and resource allocation. Generating data by individual testing methods is often impractical and ...
Scientific Research Publishing

Bayesian Interval Estimation of the Prevalence Rate Using Pool Testing Strategy with Retesting ()

Mathematics Department, Egerton University, Njoro Nakuru, Kenya. Bayesian techniques have been applied in many epidemiological settings, such as disease monitoring, outbreak simulation, and prevalence ...
GitHub

Recursive logic for processing drop tables (implementation example)

I'll be brief. I need to be able to get 1 item from 2 sets of items and drop them together. Let's say there are 3 items in each set and we need to ensure that 1 item drops from the first set and 1 ...
IEEE

Quaternion Information Filters With Inaccurate Measurement Noise Covariance: A Variational Bayesian Method

Abstract: Quaternion Kalman filters (QKFs) are designed for state estimation in three-dimensional (3-D) space. To simplify initialization, this paper focuses on the quaternion information filter (QIF) ...
eeworldonline

What are the mathematics that enable sensor fusion?

The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, ...
Frontiers

Extraction of evoked magnetic field from single epoch MEG data with recursive Bayesian approach

1 The University of Tokyo, Department of Complexity Science and Engineering Graduate School of Frontier Sciences, Japan 2 The University of Tokyo, Japan Introduction: With the increasing interest in ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...