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Materias / palabras clave: Regression analysis; Mathematical statistics; Matemáticas estadísticas

Materias / palabras clave: Matemática; Probabilidad y estadísticas; Análisis bayesiano; Mathematics; Probability and statistics; Bayesian analysis

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...

In Survival Analysis, the focus of interest is a time $T^*$ until the occurrence of some event. A set of explanatory variables (denoted by a vector $Z$) is considered to analyze if there is a relationship between any of ...

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...

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, ...

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...

The statistics of uncertain rock and soil parameters can be updated with the information from different sources such as in-situ measurements and field observations via probabilistic back analysis, which can be further us...

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...

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...

Products often operate in dynamic environments, and field failure data is frequently heavily censored, posing significant challenges in the assessment of product reliability. To enhance the accuracy of field reliability ...

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...

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...

The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions are supported, allowing users to fit - among others - linear...

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 ...

Fil: Russo, Alfredo. Universidad Nacional de Quilmes; Argentina. Fil: Russo, María Laura. Universidad Nacional de Quilmes; Argentina. La selección de un conjunto de proyectos de I + D de carácter óptimo significa max...

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...

Abstract Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of ...

The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such gro...

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, c...

When making sampling distribution inferences about the parameter of the data, θ, it is appropriate to ignore the process that causes missing data if the missing data are ‘missing at random’ and the observed data are...