Square integrable solutions and stability of a second-order stochastic integro-differential equation. [PDF]
Oudjedi-Damerdji LF +4 more
europepmc +1 more source
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
Sharp Conditions for the BBM Formula and Asymptotics of Heat Content-Type Energies. [PDF]
Gennaioli L, Stefani G.
europepmc +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Power and Sample Size Calculation for Multivariate Longitudinal Trials Using the Longitudinal Rank Sum Test. [PDF]
Ghosh D +3 more
europepmc +1 more source
Convergence rates in precise asymptotics
Gut, Allan, Steinebach, Josef
openaire +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
Inference on function-valued parameters using a restricted score test. [PDF]
Hudson A, Carone M, Shojaie A.
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
Robust Distributed High-Dimensional Regression: A Convoluted Rank Approach. [PDF]
Wu M.
europepmc +1 more source

