Results 71 to 80 of about 19,982 (307)
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo +19 more
wiley +1 more source
Consistency analysis of an empirical minimum error entropy algorithm
In this paper we study the consistency of an empirical minimum error entropy (MEE) algorithm in a regression setting. We introduce two types of consistency. The error entropy consistency, which requires the error entropy of the learned function to approximate the minimum error entropy, is shown to be always true if the bandwidth parameter tends to 0 at
Fan, Jun +3 more
openaire +3 more sources
An empirical assessment of the entropy maximising family of interaction models [PDF]
The parameters, and consequently the performance level, of statistical models of spatial interaction are particularly dependent on the spatial organisation framework which is used to organise interaction data and the way in which the costs of interaction arc measured.
Walsh, Jim, Tobin, R
openaire +2 more sources
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Unit compound Rayleigh model: Statistical characteristics, estimation and application
In this paper, we proposed a novel probability distribution model known as the unit compound Rayleigh distribution, which possesses the distinctive characteristic of defining the range within the bounded interval (0, 1). Through an in-depth investigation
Qin Gong, Laijun Luo, Haiping Ren
doaj +1 more source
Information theoretic description of the e-Mid interbank market: implications for systemic risk [PDF]
We present an empirical analysis of the European electronic interbank market of overnight lending (e-MID) during the years 1999–2009. The main goal of the paper is to explain the observed changes of the cross-sectional dispersion of lending/borrowing ...
Hatzopoulos, V., Iori, G.
core
Assessing Empirical Support for Replicator Dynamics in Financial Markets: A Maximum Entropy Method Tested with America’s Largest Companies [PDF]
Hugo Fort
openalex +1 more source
We propose a compression-based version of the empirical entropy of a finite string over a finite alphabet. Whereas previously one considers the naked entropy of (possibly higher order) Markov processes, we consider the sum of the description of the random variable involved plus the entropy it induces.
openaire +2 more sources
Spectrum sensing using empirical mode decomposition and relative entropy
Recently, as many new wireless services emerge, number of the users needing to access the limited frequency spectrum is increased. This brings the need for improvements on efficient spectrum utilization. Cognitive Radio (CR) is proposed as a solution to this problem. Spectrum sensing is an essential component of CR to increase spectrum usage efficiency.
Bektas, Cengiz +3 more
openaire +2 more sources

