Results 71 to 80 of about 4,745 (169)
Degenerate poly-Bernoulli polynomials with umbral calculus viewpoint [PDF]
Journal of Inequalities and Applications, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, Dae San +3 more
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Multiple Changepoint Detection for Non‐Gaussian Time Series
Journal of Time Series Analysis, Volume 47, Issue 3, Page 465-484, May 2026.ABSTRACT This article combines methods from existing techniques to identify multiple changepoints in non‐Gaussian autocorrelated time series. A transformation is used to convert a Gaussian series into a non‐Gaussian series, enabling penalized likelihood methods to handle non‐Gaussian scenarios.
Robert Lund +3 more
wiley +1 more source
International Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.ABSTRACT In time‐marching dynamical simulations, treatment of contact forces in deformable bodies represented by finite element meshes requires a compromise between simulation fidelity and computational costs. External forces directly evaluated at the mesh nodes offer better computational performance at the cost of modelling fidelity.
Alexander R. Schock +2 more
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Ecology and Evolution, Volume 16, Issue 4, April 2026.First comprehensive ecological assessment of the endangered genus Tigridiopalma, covering two China endemic Plant Species with Extremely Small Populations (PSESP), T. magnifica and the newly described T. exalata. T. magnifica exhibits broader habitat diversity and understory resilience, while T.
Peishan Zou +7 more
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A finite difference approach to degenerate Bernoulli and Stirling polynomials
Discrete Mathematics, 1995 For a polynomial \(f(x, y)\), define the divided difference as \[ \nabla_y f(x,y)= (f(x+ y,y)- f(x,y))/ y. \] The author studies the polynomials \(A_{n,s} (x,y)= \nabla^s_y {x\choose {s+n}}\) and \(B_{n,s} (y)= A_{n,s} (0,y)\) for \(n,s= 0, 1, 2,\dots\;\). He finds various symmetries and proves results about zeros, divisibility and irreducibility (over
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Some formulas for fully degenerate Bernoulli numbers and polynomials
, 2022 11 ...
Kim, Taekyun, Kim, Dae San
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Bayesian Random‐Effects Meta‐Analysis of Aggregate Data on Clinical Events
Statistics in Medicine, Volume 45, Issue 8-9, April 2026.ABSTRACT To investigate intervention effects on rare events, meta‐analysis techniques are commonly applied in order to assess the accumulated evidence. When it comes to adverse effects in clinical trials, these are often most adequately handled using survival methods.
Christian Röver +3 more
wiley +1 more source
Some identities relating to degenerate Bernoulli polynomials
Filomat, 2016 Recently, Carlitz degenerate Bernoulli numbers and polynomials have been studied by several authors (see [3,4]). In this paper, we consider new degenerate Bernoulli numbers and polynomials, different from Carlitz degenerate Bernoulli numbers and polynomials, and give some formulae and identities related to these numbers and polynomials.
Taekyun Kim, Dae Kim, Hyuck-In Kwon
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Regression for Left‐Truncated and Right‐Censored Data: A Semiparametric Sieve Likelihood Approach
Statistics in Medicine, Volume 45, Issue 8-9, April 2026.ABSTRACT Cohort studies of the onset of a disease often encounter left‐truncation on the event time of interest in addition to right‐censoring due to variable enrollment times of study participants. Analysis of such event time data can be biased if left‐truncation is not handled properly.
Spencer Matthews, Bin Nan
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Extension of the Bernoulli and Eulerian Polynomials of Higher Order and Vector Partition Function
, 2006 Following the ideas of L. Carlitz we introduce a generalization of the Bernoulli and Eulerian polynomials of higher order to vectorial index and argument. These polynomials are used for computation of the vector partition function $W({\bf s},{\bf D})$, i.
Rubinstein, Boris Y.
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