Results 11 to 20 of about 802,446 (258)

Detecting Common Bubbles in Multivariate Mixed Causal–Noncausal Models

open access: yesEconometrics, 2023
This paper proposes concepts and methods to investigate whether the bubble patterns observed in individual time series are common among them. Having established the conditions under which common bubbles are present within the class of mixed causal ...
Gianluca Cubadda   +2 more
doaj   +1 more source

Diamonds and Forward Variance Models

open access: yesSSRN Electronic Journal, 2022
In this non-technical introduction to diamond trees and forests, we focus on their application to computation in stochastic volatility models written in forward variance form, rough volatility models in particular.
Friz, Peter, Gatheral, Jim
openaire   +2 more sources

Let's Push Things Forward: A Survey on Robot Pushing

open access: yesFrontiers in Robotics and AI, 2020
As robots make their way out of factories into human environments, outer space, and beyond, they require the skill to manipulate their environment in multifarious, unforeseeable circumstances.
Jochen Stüber   +2 more
doaj   +1 more source

Affine forward variance models [PDF]

open access: yesFinance and Stochastics, 2018
We introduce the class of affine forward variance (AFV) models of which both the conventional Heston model and the rough Heston model are special cases. We show that AFV models can be characterized by the affine form of their cumulant generating function, which can be obtained as solution of a convolution Riccati equation.
Gatheral, Jim, Keller-Ressel, Martin
openaire   +3 more sources

Analysing Quantiles in Models of Forward Term Rates

open access: yesRisks, 2023
The class of forward-LIBOR market models can, under certain volatility structures, produce unrealistically high long-dated forward rates, particularly for maturities and tenors beyond the liquid market calibration instruments.
Thomas A. McWalter   +2 more
doaj   +1 more source

Neuroelectromagnetic Forward Modeling Toolbox [PDF]

open access: yes2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
This paper introduces a Neuroelectromagnetic Forward Modeling Toolbox running under MATLAB (The Mathworks, Inc.) for generating realistic head models from available data (MRI and/or electrode locations) and for solving the forward problem of electro-magnetic source imaging numerically.
Zeynep, Akalin Acar, Scott, Makeig
openaire   +2 more sources

A Comprehension- or a Production-Based Monitor? Response to Roelofs (2020)

open access: yesJournal of Cognition, 2020
Roelofs (2020) has put forth a rebuttal of the criticisms raised against comprehension-based monitoring and has also raised a number of objections against production-based monitors.
Nazbanou Nozari
doaj   +1 more source

Fast and Flexible Multi-Step Cloth Manipulation Planning Using an Encode-Manipulate-Decode Network (EM*D Net)

open access: yesFrontiers in Neurorobotics, 2019
We propose a deep neural network architecture, the Encode-Manipulate-Decode (EM*D) net, for rapid manipulation planning on deformable objects. We demonstrate its effectiveness on simulated cloth.
Solvi Arnold, Kimitoshi Yamazaki
doaj   +1 more source

Forward Models in Visuomotor Control [PDF]

open access: yesJournal of Neurophysiology, 2002
In recent years, an increasing number of research projects investigated whether the central nervous system employs internal models in motor control. While inverse models in the control loop can be identified more readily in both motor behavior and the firing of single neurons, providing direct evidence for the existence of forward models is more ...
Biren, Mehta, Stefan, Schaal
openaire   +2 more sources

Disruption of Cerebellar Prediction in Verbal Working Memory

open access: yesFrontiers in Human Neuroscience, 2019
Mounting evidence suggests that the right cerebellum contributes to verbal working memory, but the functional role of this contribution remains unclear. In an established theory of motor control, the cerebellum is thought to predict sensory consequences ...
Yi-Shin Sheu, Yu Liang, John E. Desmond
doaj   +1 more source

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