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STATISTICAL INFERENCE FOR ROUGH VOLATILITY: MINIMAX THEORY

Chong, Carsten; Hoffmann, Marc; Liu, Yanghui; Szymanski, Grégoire; Rosenbaum, Mathieu (2023), STATISTICAL INFERENCE FOR ROUGH VOLATILITY: MINIMAX THEORY. https://basepub.dauphine.psl.eu/handle/123456789/24557

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2210.01214.pdf (527.4Kb)
Type
Document de travail / Working paper
External document link
https://hal.science/hal-03949577
Date
2023
Series title
Cahier de recherche CEREMADE, Université Paris Dauphine-PSL
Published in
Paris
Metadata
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Author(s)
Chong, Carsten
Hoffmann, Marc
Liu, Yanghui
Szymanski, Grégoire
Rosenbaum, Mathieu
Subjects / Keywords
wavelets; scaling; minimax optimality; pre-averaging; iterated estimation procedure; Rough volatility; fractional Brownian motion

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    Statistical inference for rough volatility: Central limit theorems 
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    Statistical inference for partial differential equations 
    Grenier, Emmanuel; Hoffmann, Marc; Lelièvre, Tony; Louvet, Violaine; Prieur, Clémentine; Rachdi, Nabil; Vigneaux, Paul (2014) Communication / Conférence
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    A statistical approach for simulating the density solution of a McKean-Vlasov equation 
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    Optimization and statistical methods for high frequency finance 
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    Early stopping for statistical inverse problems via truncated SVD estimation 
    Blanchard, Gilles; Hoffman, Marc; Reiß, Markus (2018) Article accepté pour publication ou publié
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