Results 51 to 60 of about 543 (145)
On Two Bivariate Kinds of Poly-Bernoulli and Poly-Genocchi Polynomials
Mathematics, 2020 In this paper, we introduce two bivariate kinds of poly-Bernoulli and poly-Genocchi polynomials and study their basic properties. Finally, we consider some relationships for Stirling numbers of the second kind related to bivariate kinds of poly-Bernoulli
Cheon Seoung Ryoo, Waseem A. Khan
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High‐frequency income dynamics
The Scandinavian Journal of Economics, EarlyView.Abstract We generalize the canonical permanent–transitory income process to allow for infrequent shocks. The distribution of income growth rates can then have a discrete mass point at zero and fat tails as observed in income data. We provide analytical formulas for the unconditional and conditional distributions of income growth rates and higher‐order ...
Jeppe Druedahl +2 more
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On the Values of the Weighted 𝑞-Zeta and 𝐿-Functions
Discrete Dynamics in Nature and Society, 2011 Recently, the modified 𝑞-Bernoulli numbers and polynomials are introduced in (D. V. Dolgy et al., in press). These numbers are valuable to study the weighted 𝑞-zeta and 𝐿-functions.
T. Kim +3 more
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Unified Stein‐Type Characterizations of Bivariate Count Distributions With Applications
Scandinavian Journal of Statistics, EarlyView.ABSTRACT The derivation and application of Stein identities have received considerable research interest, especially for continuous distributions and univariate discrete distributions. In this article, we derive a unified Stein‐type characterization for three bivariate count models, namely the bivariate Poisson, type‐I bivariate binomial, and bivariate
Shaochen Wang, Christian H. Weiß
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Transfer Learning Under Group‐Label Shift: A Semiparametric Exponential Tilting Approach
Scandinavian Journal of Statistics, EarlyView.ABSTRACT This article studies unsupervised transfer learning for a binary outcome, with labeled source data and unlabeled target covariates. The setting is motivated by cases where standard covariate‐shift and label‐shift assumptions are inadequate: group‐ or environment‐related features may vary jointly with the label across populations, while the ...
Manli Cheng +3 more
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Statistical Monitoring of Multivariate Count Data From Real‐Time Particle Counters
Quality and Reliability Engineering International, Volume 42, Issue 8, Page 4765-4809, December 2026.ABSTRACT In the pharmaceutical industry, production environments are monitored for bacterial contamination. Particle counters are increasingly investigated for real‐time monitoring of viable microorganisms using count data for different particle size intervals.
Mona Emampour +2 more
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A new class of generalized polynomials associated with Hermite and Bernoulli polynomials
Le Matematiche, 2015 In this paper, we introduce a new class of generalized polynomials associated with the modified Milne-Thomson's polynomials Φ_{n}^{(α)}(x,ν) of degree n and order α introduced by Derre and Simsek.The concepts of Bernoulli numbers B_n, Bernoulli ...
M. A. Pathan, Waseem A. Khan
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Laguerre-Type Bernoulli and Euler Numbers and Related Fractional Polynomials
MathematicsWe extended the classical Bernoulli and Euler numbers and polynomials to introduce the Laguerre-type Bernoulli and Euler numbers and related fractional polynomials.
Paolo Emilio Ricci +2 more
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On the Modified q-Bernoulli Numbers of Higher Order with Weight
Abstract and Applied Analysis, 2012 The purpose of this paper is to give some properties of the modified q-Bernoulli numbers and polynomials of higher order with weight. In particular, by using the bosonic p-adic q-integral on ℤp, we derive new identities of q-Bernoulli numbers and ...
T. Kim, J. Choi, Y.-H. Kim, S.-H. Rim
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Random‐X Prediction Error Under Model Misspecification
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 6, December 2026.ABSTRACT In recent years, advances in computing, particularly the internet, have enabled the collection of Big Data. This has been the key of the current boom of Artificial Intelligence, fed with huge amounts of data, not necessarily of good quality. Processing them with traditional analyses may be unaffordable and new techniques are continuously being
Alvaro Cia‐Mina +3 more
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