Results 41 to 50 of about 34,617 (237)
Sparse maximum likelihood estimation of regression models
Canadian Journal of Statistics, EarlyView.Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley +1 more source
SAGE Open, 2023 Studies on the going-on COVID-19 pandemic face small sample issues. In this context, Bayesian estimation is considered a viable alternative to frequentist estimation.
Nguyen Ngoc Thach
doaj +1 more source
Mitigating measurement error in misspecified small area models
Canadian Journal of Statistics, EarlyView.Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source
Bayesian meta-analysis in the 21st century: Fad or future of evidence synthesis?
Annals, Academy of Medicine, SingaporeMeta-analyses are pivotal in evidence-based medicine. They synthesise findings from multiple studies to inform clinical practice. Traditionally, frequentist statistical methods have dominated this field. However, growing recognition of their limitations
Shruthi C Iyer +3 more
doaj +1 more source
An Agnostic Look at Bayesian Statistics and Econometrics
Review of Economic Analysis, 2010 Bayesians and non-Bayesians, often called frequentists, seem to be perpetually at loggerheads on fundamental questions of statistical inference. This paper takes as agnostic a stand as is possible for a practising frequentist, and tries to elicit a ...
Russell Davidson
doaj +1 more source
Frequentist-bayesian Monte Carlo testing.
, 2019 Conventional methods for statistical hypothesis testing has historically been categorized as frequentist or Bayesian. But, a third option based on a reconciling hybrid frequentist-Bayesian framework is quickly emerging.
Silva, Ivair Ramos +1 more
core +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Artificial intelligence (AI) reflects a paradox for corporate sustainability: it provides tools for genuine socio‐economic improvement and enables greenwashing at scale. This study examines this duality in emerging Asian markets, where rapid AI adoption coincides with evolving regulatory regimes.
Ashutosh Yadav, Simplice A. Asongu
wiley +1 more source
Setting limits and application to Higgs boson search
EPJ Web of Conferences, 2013 This lecture summarizes the basic concept of hypothesis testing, will introduce the concepts of significance and upper limit under the frequentist and Bayesian approaches, and will discuss the benefits and limitations of the most popular approaches ...
Lista Luca
doaj +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 968-979, April 2025.Abstract Sodium‐glucose co‐transporters (SGLTs) mediate sodium and glucose transport across cell membranes. SGLT2 inhibitors have a recognized place within heart failure (HF) guidelines. We evaluated the effect of sotagliflozin on HF and cardiovascular outcomes in participants with type 2 diabetes. Scopus, Medline, Embase and Central were searched from
Maria Anna Bantounou +7 more
wiley +1 more source
Methoden, Daten, Analysen, 2018 Several repeated cross-national surveys include measurements of attitudes toward gender roles to investigate individuals’ beliefs regarding the appropriateness of men and women’s roles in a particular context.
Vera Lomazzi
doaj +1 more source