activity
20102026
most citedSharp Bounds on the Entropy of the Poisson Law and Related Quantities

47 citations · 50 across the 12 of their papers we have counts for

collaborators

15 papers

math.ST2026

Explicit confidence bands and intervals for distribution functions and their derivatives via random Weierstrass-type operators

José A. Adell, J. T. Alcalá, C. Sangüesa

Classical kernel estimators of second order are interpreted in terms of random Weierstrass-type operators, particularly random Steklov operators. This leads us to obtain explicit n…

math.PR2025

Tight bounds on Poisson tails with applications to Szász-Mirakyan operators

José A. Adell, Daniel Cárdenas-Morales

We obtain tight bounds on Poisson tails which are easy to handle. A short proof based on the median of the gamma distribution is given. Numerical comparisons with other known estim…

math.ST2025

Random positive linear operators and their applications to nonparametric statistics

José A. Adell, J. T. Alcalá, C. Sangüesa

We outline a general procedure on how to apply random positive linear operators in nonparametric estimation. As a consequence, we give explicit confidence bands and intervals for a…

math.CA2024

On the rates of pointwise convergence for Bernstein polynomials

José A. Adell, Daniel Cárdenas-Morales, Antonio J. López-Moreno

Let be a real function defined on the interval which is constant on , and let be its associated th Bernstein polynomial. We prove that, fo…

math.CO2024

-Stirling numbers associated to potential polynomials

José A. Adell, Beáta Bényi

We introduce the -Stirling numbers of the first and second kind, which are the coefficients of the potential polynomials when we express them in terms of the monomials and the f…

math.CA2024

Strong Converse Inequalities for Bernstein Polynomials with Explicit Asymptotic Constants

José A. Adell, Daniel Cárdenas-Morales

We obtain strong converse inequalities for the Bernstein polynomials with explicit asymptotic constants. We give different estimation procedures in the central and non-central regi…