Results 81 to 90 of about 10,357 (300)
ABSTRACT This study investigates earnings management in European banks in the context of the 2016 EU audit directive. Using a dynamic panel of 134 banks over 2012–2023, we apply two‐step System‐GMM estimators with three profitability measures—Earnings Before Provisions and Taxes (EBPT), Return on Assets (ROA), and Return on Equity (ROE).
Maria Christofidou +3 more
wiley +1 more source
A Discrete Density Approach to Bayesian Quantile and Expectile Regression with Discrete Responses [PDF]
Xi Liu, Xueping Hu, Keming Yu
openalex +1 more source
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
Exploring Asymptotic Normality in Multinomial Models
ABSTRACT Among the methods for analyzing categorical outcomes, the multinomial model offers a robust framework for examining the dependence between a multi‐category response variable and a set of explanatory variables. Its flexibility, versatility, and broad applicability across diverse fields make it a valuable tool, as it does not impose strict ...
Célia Nunes +3 more
wiley +1 more source
Corrigendum: Modified quantile regression for modeling the low birth weight
Ferra Yanuar +2 more
doaj +1 more source
On Bayesian quantile regression and outliers
In this work we discuss the progress of Bayesian quantile regression models since their first proposal and we discuss the importance of all parameters involved in the inference process. Using a representation of the asymmetric Laplace distribution as a mixture of a normal and an exponential distribution, we discuss the relevance of the presence of a ...
Santos, Bruno, Bolfarine, Heleno
openaire +2 more sources
On Order Restricted Inference in Multi‐Step Stage Life Testing for a General Family of Distributions
ABSTRACT Recently, k$$ k $$‐step stage life testing (SLT) has been proposed by Laumen and Cramer (2021) as a natural extension of progressive censoring with fixed censoring times (PC‐FCT) as well as of simple step‐stress accelerated life testing (SSALT).
Erhard Cramer +2 more
wiley +1 more source
Anthropogenic stressors often co‐occur in ecosystems, but their combined impacts are rarely assessed using field experiments. Press disturbances particularly can reshape community dynamics, altering their capacity to withstand or recover from acute pulse disturbances by modifying response diversity.
Bridget E. White +6 more
wiley +1 more source
Generative AI for Bayesian Computation
Generative Bayesian Computation (GBC) provides a simulation-based approach to Bayesian inference. A Quantile Neural Network (QNN) is trained to map samples from a base distribution to the posterior distribution.
Nick Polson, Vadim Sokolov
doaj +1 more source

