Testing for Rough Volatility When Prices Are Purely Discontinuous
ABSTRACT We consider the problem of nonparametric testing for rough volatility, using high‐frequency data with a fixed time span, in a setting where the price is purely discontinuous. More specifically, we analyze the asymptotic properties of a test we developed in previous work in a pure‐jump setting.
Carsten H. Chong, Viktor Todorov
wiley +1 more source
A voxel-wise uncertainty-guided framework for glioma segmentation using spherical projection-based U-Net and localized refinement. [PDF]
Yang Z +5 more
europepmc +1 more source
On Testing for Independence Between Generalized Error Models of Several Time Series
ABSTRACT We define generalized innovations associated with generalized error models having arbitrary distributions, that is, distributions that can be mixtures of continuous and discrete distributions. These models include stochastic volatility models and regime‐switching models with possibly zero‐inflated regimes.
Kilani Ghoudi +2 more
wiley +1 more source
Fused ensembles of dynamic-rupture earthquake simulations to accelerate Bayesian inference. [PDF]
Kurapati V +5 more
europepmc +1 more source
Measure‐valued processes for energy markets
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero +3 more
wiley +1 more source
MCGC-Net: A Text-Enhanced Geometry-Consistent Network for UAV-Based Road Crack Detection. [PDF]
Ou Z, He S, Bu R, Wang P, Gong G.
europepmc +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution. [PDF]
Cheng YS +5 more
europepmc +1 more source
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici +3 more
wiley +1 more source
Cooperative Tracking of Vessel Trajectory by Multi-Static Passive Stations Using an MC-RMPF. [PDF]
Liu B, Kong L, Wu P.
europepmc +1 more source

