Results 191 to 200 of about 236,683 (240)
A structurally localized ensemble Kalman filtering approach
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
Two-Stroke Pumping Technique for Many-Body Systems. [PDF]
Galam S.
europepmc +1 more source
Modulation of wind drag by tidal currents in an embayment
Tidal currents modulate how wind energy enters the surface wave field by influencing both wave drag and wave generation. In Shark Bay, following currents reduce effective wave steepness and wind drag, and opposing currents enhance wave growth. Wind energy is partitioned between wave drag and the creation of new waves, explaining observed tidal ...
Stephen M. Thurgate +1 more
wiley +1 more source
Observation of super-ballistic Brownian motion in liquid. [PDF]
Boynewicz J, Thumann MC, Raizen MG.
europepmc +1 more source
Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance
ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
wiley +1 more source
Hazard-based distributional regression via ordinary differential equations. [PDF]
A Christen J, J Rubio F.
europepmc +1 more source
A Robust Self‐Starting Bayesian Approach for Multivariate Phase II Monitoring
ABSTRACT Traditional multivariate control charts require in‐control (IC) parameter estimates to be known or estimated from a large set of uncontaminated, historical Phase I observations. However, some processes need to be monitored when little Phase I data are available, and self‐starting approaches, including Bayesian methods, have proven useful. Self‐
Taylor R. Grimm +2 more
wiley +1 more source
Inference on data with both multiplicative and additive measurement errors. [PDF]
Zong Y, Liu Y, Ma Y, Van Keilegom I.
europepmc +1 more source
ABSTRACT We propose a practical procedure to quantify the time varying influence of parameters on hazard functions for power series compounded lifetime models. The procedure combines likelihood based fitting with a two stage sensitivity analysis and applies to a range of baselines and compounding laws.
Yuancheng Si, Saralees Nadarajah
wiley +1 more source
Approaches to Exceptional Points in the Framework of Non-Hermitian Random Matrices. [PDF]
Benisty H.
europepmc +1 more source

