Results 141 to 150 of about 94,222 (207)

On the Existence of One‐Sided Representations for the Generalised Dynamic Factor Model

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We study the Generalised Dynamic Factor Model (GDFM) and show that the dynamic common component, that is, the common component of the GDFM, can be expressed using only current and past observations under mild assumptions. Specifically, we require (i) the dynamic common component to be purely non‐deterministic and (ii) the exclusion of ...
Philipp Gersing
wiley   +1 more source

Robustness of Working Memory to Prefrontal Cortex Microstimulation. [PDF]

open access: yesJ Neurosci
Soldado-Magraner J   +3 more
europepmc   +1 more source

Measure‐valued processes for energy markets

open access: yesMathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
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

Myelin water imaging from accelerated 3D-GRASE acquisitions using subspace constrained reconstruction. [PDF]

open access: yesMAGMA
Byanju R   +4 more
europepmc   +1 more source

The Natural Components of a Regular Linear System

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT The analysis of a finite‐dimensional regular linear system may be simplified by separating the system into its natural components. The natural components are smaller linear systems on separate subspaces whose dimensions sum to the dimension of the original linear system.
Brendan K. Beare, Phil Howlett
wiley   +1 more source

Inference on the Attractor Space via Functional Approximation

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT This paper discusses semiparametric inference on hypotheses on the cointegration and the attractor spaces for I(1)$$ I(1) $$ linear processes with moderately large cross‐sectional dimension. The approach is based on sample canonical correlations and functional approximation of Brownian motions, and it can be applied both to the whole system ...
Massimo Franchi, Paolo Paruolo
wiley   +1 more source

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