Simple Random Sampling: 6 Basic Steps With Examples

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...
University of Surrey

Compatible finite element discretisations of neural network informed stochastic geophysical flow models and their evaluation with Bayesian data assimilation

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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 ...
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 ...
Nature

Parameter Estimation In Differential Equation Models

Parameter estimation in differential equation models is a critical endeavour in the mathematical modelling of dynamic systems. Such models, represented by ordinary differential equations (ODEs), ...
PNAS

Shared cognitive biases influence numerical judgments in macaques and crows

Cognitive biases, often seen as uniquely human flaws, may instead reflect fundamental decision-making strategies shared across species. By demonstrating that macaque monkeys and carrion crows exhibit ...
IEEE

Sample-Based Continuous Approximate Method for Constructing Interval Neural Network

Abstract: In safety-critical engineering applications, such as robust prediction against adversarial noise, it is necessary to quantify neural networks’ uncertainty. Interval neural networks (INNs) ...
C&EN

On Accelerating Substrate Optimization Using Computational Gibbs Energy Barriers: A Numerical Consideration Utilizing a Computational Data Set

Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, Hokkaido 001-0021, Japan ERATO Maeda Artificial Intelligence for Chemical Reaction Design and Discovery ...
GitHub

Bayesian Integration always reporting "ON" or "1" in probability

No matter what I'm doing, I'm always getting "ON" and with a probability of 1 (100%) which is not true. In the following example I'm checking the probability of someone being in bed. Consider the ...
Oak Ridge National Lab

Bayesian merging of numerical modeling and remote sensing for saltwater intrusion quantification in the Vietnamese Mekong Delta

Saltwater intrusion has become one of the most concerning issues in the Vietnamese Mekong Delta (VMD) due to its increasing impacts on agriculture and food security of Vietnam. Reliable estimation of ...