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Abstract The application of Bayesian statistics in pivotal clinical trials has gained increasing attention, particularly for underpowered confirmatory trials such as those in pediatric and rare disease populations. Bayes...

Screening polygraph tests are most often conducted before a candidate is hired. Bayesian statistics help to better understand the real meaning of the test results obtained. Retesting also happens - usually when a candida...

If radiocarbon measurements are to be used at all for chronological purposes, we have to use statistical methods for calibration. The most widely used method of calibration can be seen as a simple application of Bayesian...

Abstract Jeffreys' Theory of Probability, first published in 1939, was the first attempt to develop a fundamental theory of scientific inference based on Bayesian statistics. His ideas were well ahead of their time and i...

The Airline Quality Rating, a unique metric that is of interval scale and is comparable across carriers and time periods, is a quantitative evaluation of the quality of U.S. domestic air carriers based on data that is co...

Particle filters have been widely used as a solution to the Bayesian filtering problem, propagating in time a Monte Carlo (MC) approximation of the a posteriori filtering measure. In many situations, the exact statistics...

Abstract In this study, a new three-parameter Lomax distribution is proposed using the beta transformation technique. The new distribution is named Beta Transformed Lomax distribution. Some mathematical properties of the...

Determining the strength of nonlinear, statistical dependencies between two variables is a crucial matter in many research fields. The established measure for quantifying such relations is the mutual information. However...

Abstract Background Current evidence regarding the role of Metabolic Syndrome (MetS) and its components in Calcific Aortic Valve Stenosis (CAVS) remains limited and inconsistent. To elucidate the causal relationship and ...

A remnant population ofAnadenanthera colubrinavar.cebilin Northern Argentina showed a mixed mating system, high genetic diversity, and moderate spatial genetic structure, which was stronger in saplings than in adults. De...

Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version ...

Abstract In a 1935 paper and in his book Theory of Probability, Jeffreys developed a methodology for quantifying the evidence in favor of a scientific theory. The centerpiece was a number, now called the Bayes factor, wh...

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, pro...

Introduction - Kenneth A Bollen and J Scott Long Multifaceted Conceptions of Fit in Structural Equation Models - J S Tanaka Monte Carlo Evaluations of Goodness-of-Fit Indices for Structural Equation Models - David W Gerb...

Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...

Tables and Figures. Glossary. 1. Introduction. 1.1 Overview. 1.2 Examples of Surveys with Nonresponse. 1.3 Properly Handling Nonresponse. 1.4 Single Imputation. 1.5 Multiple Imputation. 1.6 Numerical Example Using Multip...

We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute sum...

BACKGROUND: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The...

1 Introduction 1.1 What is Data Mining? 1.2 Motivating Challenges 1.3 The Origins of Data Mining 1.4 Data Mining Tasks 1.5 Scope and Organization of the Book 1.6 Bibliographic Notes 1.7 Exercises 2 Data 2.1 Types of Data...

The twin star configuration, where two neutron stars share the same mass but exhibit different radii, can arise from a strong first-order phase transition in the dense-matter equation of state (EoS). This first-order pha...

The upcoming A+ era of the LIGO–Virgo–KAGRA network—featuring upgrades to Advanced LIGO (aLIGO+) and Advanced Virgo (AdV+)—will enable more frequent and precise observations of binary neutron star (BNS) mergers, ...

Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the book focuses on modern computat...

Fil: Marsico, Franco Daniel. Universidad Nacional de Quilmes; Argentina. La búsqueda de personas desaparecidas es una tarea que requiere múltiples pasos, desde la recopilación de información básica sobre el caso, ha...

Subjects / keywords: statistics, probability, modeling, bayesian statistics, biostatistics, applied mathematics; Social Sciences: Statistics