Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is facing ...

1 Department of Biochemistry, Brandeis University, Waltham, MA, United States 2 Department of Biology, Brandeis University, Waltham, MA, United States This study explores the efficacy of Bayesian ...

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

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

This repository contains a flight-tested Python implementation of a particle-filter-based multiple thermal updraft estimator that allows autonomous updraft localization and exploitation.

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 ...

Recursive Bayesian inference, in which posterior beliefs are updated in light of accumulating data, is a tool for implementing Bayesian models in applications with streaming and/or very large data ...

The rstan package is probably the most important but also may prove to be finicky to install. See detailed instructions here: https://github.com/stan-dev/rstan/wiki ...

Maximum A Posteriori (MAP) decoding is a technique used to estimate the most probable value of an unknown quantity based on observed data and prior knowledge, especially in digital communications and ...