Results 191 to 200 of about 15,255 (305)
Online Nodal Demand Estimation in Branched Water Distribution Systems Using an Array of Extended Kalman Filters. [PDF]
López-Estrada FR +5 more
europepmc +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
The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds. [PDF]
Clemens J, Wellhausen C.
europepmc +1 more source
Econometric Methods of Signal Extraction [PDF]
The Wiener-Kolmogorov signal extraction filters, which are widely used in econometric analysis, are constructed on the basis of statistical models of the processes generating the data.
Stephen Pollock
core
ABSTRACT To study variables that may trigger the dispersion of the currently expanding European catfish in its native distribution limits, 42 individuals were captured from Upper Lake Constance (lentic) and 42 from two streaming tributaries (lotic), fitted with pressure and temperature loggers, and released at the site of capture (control: lotic or ...
Albert Ros +4 more
wiley +1 more source
A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models. [PDF]
Donas A +4 more
europepmc +1 more source
Discharge‐Targeted Hydraulic Tomography to Quantify and Locate Aquifer Discharge
Abstract Quantifying and localizing groundwater discharge is inherently difficult. It requires knowledge about hydraulic conductivity and the hydraulic gradient on the scale of interest. Conventional hydraulic testing, such as pumping tests, may fail in the presence of heterogeneity and complex structural boundaries.
Konstantin Drach +2 more
wiley +1 more source
Hybrid Anomaly Detection in Time Series by Combining Kalman Filters and Machine Learning Models. [PDF]
Puder A, Zink M, Seidel L, Sax E.
europepmc +1 more source
Comparison of Kalman Filters for Inertial Integrated Navigation. [PDF]
Zhang M, Li K, Hu B, Meng C.
europepmc +1 more source

