Results 141 to 150 of about 52,512 (299)
Ridge Regression Model Averaging Based on Rp Criterion
Journal of MathematicsModel selection is an important tool in statistical inference. However, it is useless with regard to the uncertainty inherent in the inference process.
Yunfei Guo, Tao Wang, Zhonghua Li
doaj +1 more source
A New Ridge Regression Causality Test in the Presence of Multicollinearity
This paper analyzes and compares the properties of the most commonly applied versions of the Granger causality (GC) test to a new ridge regression GC test (RRGC), in the presence of multicollinearity.
Shukur, Ghazi +2 more
core
Ag/Ag2S Nanoparticle‐Based In‐Materio Lightweight Cryptographic System for IoT Edge Security
Advanced Intelligent Systems, EarlyView.This work presents a nanomaterial‐based in materio encryption method that directly transforms analog signals through nonlinear Ag/Ag2S nanoparticle networks. By exploiting the inherently nonuniform characteristics that arise from random arrangement of nanoparticles as a unique security key, the approach produces highly complex encrypted waveforms ...
Hiroki Tabata +7 more
wiley +1 more source
Imposing parsimony in cross-country growth regressions [PDF]
The number of variables related to long-run economic growth is large compared with the number of countries. Bayesian model averaging is often used to impose parsimony in the cross-country growth regression.
Jarociński, Marek
core
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
Advanced Intelligent Systems, EarlyView.This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
We argue in this paper that general ridge (GR) regression implies no major complication compared with simple ridge regression. We introduce a generalization of an explicit GR estimator derived by Hemmerle and by Teekens and de Boer and show that this ...
Hafner, C.M., Boer, P.M.C. de
core
Advanced Intelligent Systems, EarlyView.Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source
Sensor Selection for Tidal Volume Determination via Linear Regression-Impact of Lasso versus Ridge Regression. [PDF]
Sensors (Basel), 2023 Laufer B +8 more
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Advanced Intelligent Systems, EarlyView.Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers. [PDF]
BMC Genom Data, 2023 Lozada DN, Sandhu KS, Bhatta M.
europepmc +1 more source