Results 51 to 60 of about 4,701 (182)

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

On Fully Degenerate Daehee Numbers and Polynomials of the Second Kind

Journal of Mathematics, 2020
In a study, Carlitz introduced the degenerate exponential function and applied that function to Bernoulli and Eulerian numbers and degenerate special functions have been studied by many researchers.
Sang Jo Yun, Jin-Woo Park
doaj   +1 more source

On the new type of degenerate poly-Genocchi numbers and polynomials

Advances in Difference Equations, 2020
Kim and Kim (J. Math. Anal. Appl. 487:124017, 2020) introduced the degenerate logarithm function, which is the inverse of the degenerate exponential function, and defined the degenerate polylogarithm function.
Dae Sik Lee, Hye Kyung Kim
doaj   +1 more source

Free Meixner states

, 2007
Free Meixner states are a class of functionals on non-commutative polynomials introduced in math.CO/0410482. They are characterized by a resolvent-type form for the generating function of their orthogonal polynomials, by a recursion relation for those ...
C.N. Morris, D. Kim, D. Pommeret, E. Lytvynov, G. Szegö, H.T. Koelink, I. Kubo, J. Meixner, J. Wesołowski, J.M. Cohen, L. Accardi, M. Anshelevich, M. Anshelevich, M. Anshelevich, M. Bożejko, M. Bożejko, M. Bożejko, M. Casalis, Michael Anshelevich, N. Saitoh, P. Flajolet, P. Śniady, R.G. Laha, É. Ricard   +23 more
core   +2 more sources

A Note on Degenerate Euler and Bernoulli Polynomials of Complex Variable [PDF]

Symmetry, 2019
Recently, the so-called new type Euler polynomials have been studied without considering Euler polynomials of a complex variable. Here we study degenerate versions of these new type Euler polynomials. This has been done by considering the degenerate Euler polynomials of a complex variable.
Dae Kim, Taekyun Kim, Hyunseok Lee
openaire   +2 more sources

Species distribution modeling with expert elicitation and Bayesian calibration

Ecography, EarlyView.
Species distribution models (SDM) are key tools in ecology, conservation, and natural resources management. They are traditionally trained with data on direct species observations. However, if collecting species data is difficult or expensive, complementary information sources on species distributions are needed.
Karel Kaurila, Sanna Kuningas, Antti Lappalainen, Jarno Vanhatalo   +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
openaire   +2 more sources

Moderate deviations via cumulants

, 2010
The purpose of the present paper is to establish moderate deviation principles for a rather general class of random variables fulfilling certain bounds of the cumulants.
A. Dembo, A. Ruciński, A. Soshnikov, A.B. Soshnikov, A.D. Barbour, A.J. Lee, A.K. Aleškevičienė, C.P. Hughes, D. Li, G.W. Anderson, H. Cramèr, H. Döring, Hanna Döring, J.B. Hough, J.P. Keating, L. Chen, L. Saulis, M. Abramowitz, M.L. Mehta, N. Alon, N.N. Amosova, P. Baldi, P. Eichelsbacher, P. Eichelsbacher, P. Eichelsbacher, Peter Eichelsbacher, R. Killip, R. Rudzkis, S. Chatterjee, S. Chatterjee, S. Janson, S. Janson, S. Janson, S. Janson, V. Yurinsky, V.V. Petrov   +35 more
core   +1 more source

Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server. Despite rapid progress, federated learning still faces several unsolved challenges. Specifically, communication costs and system heterogeneity, such as nonidentical data distribution,
Jamshid Tursunboev, Vikas Palakonda, Il‐Min Kim, Sunghwan Moon, Jae‐Mo Kang   +4 more
wiley   +1 more source

The Ginibre ensemble and Gaussian analytic functions

, 2011
We show that as $n$ changes, the characteristic polynomial of the $n\times n$ random matrix with i.i.d. complex Gaussian entries can be described recursively through a process analogous to P\'olya's urn scheme.
Bálint Virág, Dumitriu, Girko, Hough, Kostlan, Manjunath Krishnapur, Nazarov, Ramírez, Rider, Sodin, Sodin, Trotter, Valkó   +12 more
core   +1 more source