Results 181 to 190 of about 75,448 (316)
Search model based on Kalman Filter and Monte Carlo simulation. [PDF]
Liu J, Li Y, Liu X.
europepmc +1 more source
Extending reliability to intensive longitudinal data with the Kalman filter
Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
wiley +1 more source
A TLS-Motivated Non-Iterative Robust Square-Root Cubature Kalman Filter for Bearings-Only Tracking. [PDF]
Li C +5 more
europepmc +1 more source
Abstract Background and Purpose Genomic profiling of patients for genetic variants that modify the effect of specific medications has many benefits, including the possibility of avoiding toxicities and ensuring an adequate effect of the medication. Our intention was to develop a comprehensive, high‐quality pharmacogenetic test panel for clinical use ...
Anna Gréen +5 more
wiley +1 more source
Estimation of battery SOC using a combined approach of temporal convolutional networks and Unscented Kalman Filter. [PDF]
Lin H, Chen X, Zhang L, Bao Z, Tang S.
europepmc +1 more source
Prototype of the DLR operational composite clock: methods and test cases
The operational implementation of the ensemble Kalman filter Composite Clock (CC developed by K. R. Brown), is subject of the paper. Although the mathematical background of the CC is well-known, its autonomous and robust operation in a clock ...
Hammesfahr, Jens, Suess, Matthias
core
L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel +6 more
wiley +1 more source
Macroeconomic forecasting during recessions and expansions in the US and the euro area
Abstract This study systematically evaluates forecasting performance of 11 Dynamic Stochastic General Equilibrium (DSGE) and 2 Bayesian Vector Autoregression (BVAR) models during recessions and expansions in the US and the euro area. Results show that no single model dominates: parsimonious models perform well in stable periods and at short horizons ...
Jan Čapek +2 more
wiley +1 more source
An Extended Kalman Filter with Remainder Terms and Correlation Compensation for Nonlinear State Monitoring and Soft Sensing. [PDF]
Ke J, Wen C.
europepmc +1 more source

