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 ...

1 Fisheries Stock Assessment Center Fisheries Resources Institute, Japan Fisheries Research and Education Agency, Yokohama, Japan 2 Oceanic Fisheries Program, The Pacific Community (SPC), Nouméa, New ...

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 ...

ABSTRACT: Soil-water characteristic curve (SWCC) is significant to estimate the site-specific unsaturated soil properties (such as unsaturated shear strength and coefficient of permeability) for ...

In this paper, a fast temporal multiple sparse Bayesian learning (FTMSBL)-based channel estimation method for underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) systems is ...

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 ...

The folder contains examples and codes developed in the Willy Mutchler lecture's at the Tübingen University . The course deals with estimation of SVAR and DSGE models ...

Abstract: This paper presents an approach to the recursive Bayesian estimation of non-field-of-view (NFOV) sound source tracking based on reflection and diffraction signals with an incorporation of ...