Understanding Credibility Theory in Actuarial Science

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

Understanding Negative Correlation Coefficient in Statistics

Learn about the negative correlation coefficient, its significance, comparison with other coefficients, and real-world ...
IEEE

Classical and Bayesian Estimation for the Parameters of a Competing Risk Model Based on Minimum of Exponential and Gamma Failures

Abstract: The paper provides both classical and Bayesian estimation of the parameters of a competing risk model defined on the basis of minimum of exponential and gamma failure modes. Usually such ...
a-z-animals

Crows and monkeys show mental shortcuts when judging numbers

For centuries, humans have assumed that our thinking errors set us apart from the rest of the animal kingdom. From misjudging risks to seeing patterns that aren’t there, we like to imagine that our ...
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 ...
INSPIRE

Bayesian inference on the Numerical INJection Analysis (NINJA) data set using a nested sampling algorithm

We present the results of an analysis of the first data release of the Numerical INJection Analysis (NINJA) project to search for gravitational waves generated by the coalescence of black hole ...
C&EN

Enhancement of Li-Ion Battery Cathode Performance via Bayesian and Genetic Algorithm Optimization: Experimental and Numerical Analysis

Department of Intelligent Energy and Industry, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea Department of Intelligent Energy and Industry, Chung-Ang University, 84 ...
marktechpost

GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...
Frontiers

An introduction to Bayesian simulation-based inference for quantum machine learning with examples

1 Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands 2 Department of Engineering, King’s College London, London, United Kingdom Simulation is an ...
IEEE

Multisensor Multiobject Tracking With Improved Sampling Efficiency

Abstract: Passive monitoring of acoustic or radio sources has important applications in modern convenience, public safety, and surveillance. A key task in passive monitoring is multiobject tracking ...