Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...
ABSTRACT: Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior ...
Rainfall and snowfall have different effects on energy balance calculations and land–air interactions in terrestrial models. The identification of precipitation types is crucial to understand climate ...
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 ...
I São Paulo State University/FCAV - Dept. of Phytosanitary, Via de Acesso Prof. Paulo Donato Castellane s/n - 14884-900 - Jaboticabal, SP - Brazil II São Paulo State University/FCAV - Dept. of Exact ...
Abstract: In CRYPTO 2013, Ducas et al. introduced a bimodal discrete Gaussian distribution into the Fiat-Shamir with abort paradigm, proposing a signature scheme called BLISS, which significantly ...
Sampling distributions are vital in the world of statistics and data analysis. They provide estimations and insight into the characteristics of a population based on samples taken from that population ...
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