activity
20072025
most citedInference for the limiting cluster size distribution of extreme values

57 citations · 111 across the 16 of their papers we have counts for

collaborators

20 papers

stat.ME2025

The Causal-Noncausal Tail Processes

Christian Gouriéroux, Yang Lu, Christian-Yann Robert

This paper considers one-dimensional mixed causal/noncausal autoregressive (MAR) processes with heavy tail, usually introduced to model trajectories with patterns including asymmet…

stat.ME2024

Forecasting with Markovian max-stable fields in space and time: An application to wind gust speeds

Ryan Cotsakis, Erwan Koch, Christian-Yann Robert

Hourly maxima of 3-second wind gust speeds are prominent indicators of the severity of wind storms, and accurately forecasting them is thus essential for populations, civil authori…

math.ST2022

Fixed-domain asymptotic properties of maximum composite likelihood estimators for max-stable Brown-Resnick random fields

Nicolas Chenavier, Christian Y. Robert

Likelihood inference for max-stable random fields is in general impossible because their finite-dimen\-sional probability density functions are unknown or cannot be computed effici…

q-fin.CP2021★ 27 cited

Multivariate Realized Volatility Forecasting with Graph Neural Network

Qinkai Chen, Christian-Yann Robert

The existing publications demonstrate that the limit order book data is useful in predicting short-term volatility in stock markets. Since stocks are not independent, changes on on…

cs.CL2021★ 8 cited

Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data

Qinkai Chen, Christian-Yann Robert

Predicting stock prices from textual information is a challenging task due to the uncertainty of the market and the difficulty understanding the natural language from a machine's p…

stat.CO2021★ 2 cited

NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform

Achille Thin, Yazid Janati, Sylvain Le Corff +5

Sampling from a complex distribution and approximating its intractable normalizing constant Z are challenging problems. In this paper, a novel family of importance samplers (IS…