Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley +1 more source
Existence of variational solutions to doubly nonlinear systems in nondecreasing domains. [PDF]
Schätzler L +3 more
europepmc +1 more source
The Cauchy problem for intuitionistic fuzzy differential equations [PDF]
Bouchra Ben Amma +2 more
openalex +1 more source
The fundamental theorem of asset pricing with and without transaction costs
Abstract We prove a version of the fundamental theorem of asset pricing (FTAP) in continuous time that is based on the strict no‐arbitrage condition and that is applicable to both frictionless markets and markets with proportional transaction costs. We consider a market with a single risky asset whose ask price process is higher than or equal to its ...
Christoph Kühn
wiley +1 more source
Modeling COVID-19 transmission: effects of age structure and vaccination. [PDF]
Ali S +5 more
europepmc +1 more source
On the Cauchy-Kovalevskaya theorem for Caputo fractional differential equations
Marc Jornet
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The Cauchy problem for the Euler-Poisson system and derivation of the Zakharov-Kuznetsov equation [PDF]
David Lannes +2 more
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Comparing Robust Versions of Distance Covariance: A Comment on the Biloop Approach
International Statistical Review, EarlyView.
Dominic Edelmann
wiley +1 more source
Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors
ABSTRACT This study proposes a Bayesian approach for finite‐sample inference of the Gaussian copula endogeneity correction. Extant studies use frequentist inference, build on a priori computed estimates of marginal distributions of explanatory variables, and use bootstrapping to obtain standard errors. The proposed Bayesian approach facilitates precise
Rouven E. Haschka
wiley +1 more source

