Results 41 to 50 of about 543 (145)
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
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Special Numbers and Polynomials Including Their Generating Functions in Umbral Analysis Methods
Axioms, 2018 In this paper, by applying umbral calculus methods to generating functions for the combinatorial numbers and the Apostol type polynomials and numbers of order k, we derive some identities and relations including the combinatorial numbers, the Apostol ...
Yilmaz Simsek
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Regularized reduced rank regression for mixed predictor and response variables
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno +2 more
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European Management Review, EarlyView.Abstract We investigate the effect of logic multiplicity on organizational performance and hypothesize that logics may impact performance in view of their sheer number. We further propose that the market logic embedded in the for‐profit legal form can positively moderate the impact of multiple logics on performance.
Francesca Capo +3 more
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Axioms, 2019 The aim of this paper is to construct generating functions for new families of combinatorial numbers and polynomials. By using these generating functions with their functional and differential equations, we not only investigate properties of these new ...
Irem Kucukoglu +2 more
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A Horse Race of Machine‐Learning Methods to Predict Banking Crises
International Finance, EarlyView.ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
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Journal of Applied Mathematics, 2013 Using bosonic -adic -integral on , we give some interesting relationships between -Bernoulli numbers with weight (,) and -Bernstein polynomials with weight .
H. Y. Lee, C. S. Ryoo
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Journal of Child Psychology and Psychiatry, EarlyView.Background Recent evidence suggests that many autistic individuals exhibit heightened emotional responsiveness to others' affect despite greater difficulty recognizing others' emotions and accurately inferring their perspectives. This study introduces and preliminarily evaluates the Emotion Regulation and Recognition Account (ERRA), a model proposing ...
Jeffrey J. Wood +7 more
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A joint model of cost and churn for the insurance industry
Journal of Risk and Insurance, EarlyView.Abstract In insurance markets, claim costs are highly variable, heavy‐tailed, and difficult to predict. At the same time, policyholder retention and lapse behavior (customer churn) are critical determinants of long‐term profitability and solvency. Most existing models in the literature treat claim costs and lapses as independent, overlooking potential ...
Yumo Dong +4 more
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Advances in Difference Equations, 2011 This paper performs a further investigation on the q-Bernoulli numbers and q-Bernoulli polynomials given by Acikgöz et al. (Adv Differ Equ, Article ID 951764, 9, 2010), some incorrect properties are revised.
Kim Taekyun, Lee Byungje, Ryoo Cheon
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