◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Luca Rossini

8 papers hereh-index 351 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • econ.EM3
  • stat.AP1
same name
  • Luca Rossini — 7 papers, h 5
  • Luca Rossini — 5 papers, h 5
  • Luca Rossini — 3 papers, h 3
  • Luca Rossini — 3 papers, h 4
  • Luca Rossini — 2 papers, h 2
  • Luca Rossini — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
collaborators
Showing econ.EMShow all

3 papers · 1 filter

econ.EM2023

Money Growth and Inflation: A Quantile Sensitivity Approach

Matteo Iacopini, Aubrey Poon, Luca Rossini +1

An innovative method is proposed to construct a quantile dependence system for inflation and money growth. By considering all quantiles and leveraging a novel notion of quantile se…

econ.EM2022

Bayesian Mixed-Frequency Quantile Vector Autoregression: Eliciting tail risks of Monthly US GDP

Matteo Iacopini, Aubrey Poon, Luca Rossini +1

Timely characterizations of risks in economic and financial systems play an essential role in both economic policy and private sector decisions. However, the informational content…

econ.EM2019

Bayesian nonparametric graphical models for time-varying parameters VAR

Matteo Iacopini, Luca Rossini

Over the last decade, big data have poured into econometrics, demanding new statistical methods for analysing high-dimensional data and complex non-linear relationships. A common a…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.