◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

C. Gouriéroux

10 papers hereh-index 5313.7k citations385 works total

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

author position
  • first author9
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • econ.EM5
  • stat.ME3
  • q-bio.PE2
same name
  • C. Gouriéroux — 2 papers, h 2

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
20202023
most citedNonlinear Fore(Back)casting and Innovation Filtering for Causal-Noncausal VAR Models

7 citations · 15 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

stat.ME2020★ 1 cited

Uncertainty on the Reproduction Ratio in the SIR Model

Sean Elliott, Christian Gourieroux

The aim of this paper is to understand the extreme variability on the estimated reproduction ratio R0​ observed in practice. For expository purpose we consider a discrete time st…

q-bio.PE2020★ 1 cited

SIR Model with Stochastic Transmission

Christian Gourieroux, Yang Lu

The Susceptible-Infected-Recovered (SIR) model is the cornerstone of epidemiological models. However, this specification depends on two parameters only, which implies a lack of fle…

q-bio.PE2020★ 1 cited

Analysis of Virus Propagation: A Transition Model Representation of Stochastic Epidemiological Models

Christian Gourieroux, Joann Jasiak

The growing literature on the propagation of COVID-19 relies on various dynamic SIR-type models (Susceptible-Infected-Recovered) which yield model-dependent results. For transparen…

stat.ME2020★ 1 cited

Time Varying Markov Process with Partially Observed Aggregate Data; An Application to Coronavirus

Christian Gourieroux, Joann Jasiak

A major difficulty in the analysis of propagation of the coronavirus is that many infected individuals show no symptoms of Covid-19. This implies a lack of information on the total…

◍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.