Results 41 to 50 of about 96,717 (274)

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

On compound operators depending on s parameters

open access: yesJournal of Numerical Analysis and Approximation Theory, 2004
In this note we introduce a compound operator depending on \(s\) parameters using binomial sequences. We compute the values of this operator on the test functions, we give a convergence theorem and a representation of the remainder in the ...
Maria Crăciun
doaj   +2 more sources

Sharper Sub-Weibull Concentrations

open access: yesMathematics, 2022
Constant-specified and exponential concentration inequalities play an essential role in the finite-sample theory of machine learning and high-dimensional statistics area. We obtain sharper and constants-specified concentration inequalities for the sum of
Huiming Zhang, Haoyu Wei
doaj   +1 more source

A Selberg integral for the Lie algebra A_n

open access: yes, 2007
A new q-binomial theorem for Macdonald polynomials is employed to prove an A_n analogue of the celebrated Selberg integral. This confirms the g=A_n case of a conjecture by Mukhin and Varchenko concerning the existence of a Selberg integral for every ...
A Lascoux   +30 more
core   +1 more source

Approximation of Discontinuous Functions by Positive Linear Operators. A Probabilistic Approach

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We obtain approximation results for general positive linear operators satisfying mild conditions, when acting on discontinuous functions and absolutely continuous functions having discontinuous derivatives. The upper bounds, given in terms of a local first modulus of continuity, are best possible, in the sense that we can construct particular ...
J.A. Adell   +2 more
wiley   +1 more source

On the link between Binomial Theorem and Discrete Convolution of Polynomials

open access: yes, 2020
Let $\mathbf{P}^{m}_{b}(x), \; m\in\mathbb{N}$ be a $2m+1$-degree integer-valued polynomial in $b,x\in\mathbb{R}$. In this manuscript we show that Binomial theorem is partial case of polynomial $\mathbf{P}^{m}_{b}(x)$. Furthermore, by means of $\mathbf{P}
Kolosov, Petro
core  

Polynomial sequences of binomial-type arising in graph theory [PDF]

open access: yes, 2012
In this paper, we show that the solution to a large class of "tiling" problems is given by a polynomial sequence of binomial type. More specifically, we show that the number of ways to place a fixed set of polyominos on an $n\times n$ toroidal chessboard
Schneider, Jon
core  

Multivariate Tests for Comparing Lifetimes of Parallel Systems

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Life testing of engineering systems with dependent components requires robust multivariate methods. Parametric approaches depend on restrictive assumptions, limiting their use in complex or unknown lifetime distribution settings. This study evaluates nonparametric methods for comparing parallel system lifetimes under minimal sample ...
Niladri Chakraborty   +2 more
wiley   +1 more source

State‐space models and inference approaches for aquatic animal tracking with passive acoustic telemetry and biologging sensors

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender   +3 more
wiley   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo   +2 more
wiley   +1 more source

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