Results 171 to 180 of about 97,059 (278)
Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex. [PDF]
Wingert JC +3 more
europepmc +1 more source
An invariant-subspace theorem.
Pearcy, Carl, Salinas, Norberto
openaire +3 more sources
A Note on Local Polynomial Regression for Time Series in Banach Spaces
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley +1 more source
Globalizing manifold-based reduced models for equations and data. [PDF]
Kaszás B, Haller G.
europepmc +1 more source
On the Existence of One‐Sided Representations for the Generalised Dynamic Factor Model
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
A Complex Structure for Two-Typed Tangent Spaces. [PDF]
Naudts J.
europepmc +1 more source
ABSTRACT The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium‐to‐long‐run component of economic growth of a ...
Alessandro Giovannelli +2 more
wiley +1 more source
Enhancing Neuromorphic Robustness via Recurrence Resonance: The Role of Shared Weak Attractors in Quantum Logic Networks. [PDF]
Huang Y, Gunji YP.
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
Informationally complete distributed metrology without a shared reference frame. [PDF]
Xu HQ +8 more
europepmc +1 more source

