activity
20222024
most citedTAC Method for Fitting Exponential Autoregressive Models and Others: Applications in Economy and Finance

4 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

math.NA2024★ 4 cited

TAC Method for Fitting Exponential Autoregressive Models and Others: Applications in Economy and Finance

Javier Cabello Sánchez, Juan Antonio Fernández Torvisco, Mariano R. Arias

There are a couple of purposes in this paper: to study a problem of approximation with exponential functions and to show its relevance for the economic science. We present results…

math.NA2023

Chebyshev approximation of exponential data

Mariano Rodríguez-Arias Fernández, Javier Cabello Sánchez, Juan Antonio Fernández Torvisco

In this paper we present an algorithm to fit data via exponentials when the error is measured using the max-norm. We prove the necesssary results to show that the algorithm will co…

astro-ph.CO2023

A new step forward in realistic cluster lens mass modelling: Analysis of Hubble Frontier Field Cluster Abell S1063 from joint lensing, X-ray and galaxy kinematics data

Benjamin Beauchesne, Benjamin Clément, Pascale Hibon +14

We present a new method to simultaneously/self-consistently model the mass distribution of galaxy clusters that combines constraints from strong lensing features, X-ray emission an…

math.FA2022

Dynamics of the semigroup of contractive automorphisms of Banach spaces

Félix Cabello Sánchez, Javier Cabello Sánchez

Motivated by some recent twaddles on Mazur rotations problem, we study the "dynamics" of the semigroup of contractive automorphisms of Banach spaces, mostly in finite-dimensional s…

astro-ph.CO2022★ 2 cited

Snowmass2021 Cosmic Frontier White Paper: Enabling Flagship Dark Energy Experiments to Reach their Full Potential

Jonathan A. Blazek, Doug Clowe, Thomas E. Collett +25

A new generation of powerful dark energy experiments will open new vistas for cosmology in the next decade. However, these projects cannot reach their utmost potential without data…