Results 261 to 270 of about 26,219 (311)

A Mixed Frequency BVAR for the Australian Economy*

Economic Record, Volume 102, Issue 337, Page 182-207, June 2026.
A mixed frequency vector autoregression (MFVAR) model is proposed for nowcasting, forecasting and backcasting Australian macroeconomic indicators at monthly and quarterly frequencies. A novel augmented Minnesota prior for MFVAR models is also introduced.
Kelly Trinh, Jamie L. Cross
wiley   +1 more source

Manoeuvre Target Tracking in Wireless Sensor Networks Using Convolutional Bi-Directional Long Short-Term Memory Neural Networks and Extended Kalman Filtering. [PDF]

Sensors (Basel)
Peng D, Xie K, Liu M.
europepmc   +1 more source

Theory‐based promotion of diet and transportation behavior change to reduce carbon footprint among students: Randomized parallel trial of the GROW app

Applied Psychology: Health and Well-Being, Volume 18, Issue 3, June 2026.
Abstract Adopting a low‐emission diet and choosing low‐emission transportation modes are among the most effective strategies for mitigating one's individual impact on climate. However, interventions targeting these behaviors often fall short because they focus primarily on motivation, neglecting volitional processes. Guided by the Health Action Process
Dario Baretta, Carole Lynn Rüttimann, Jennifer Inauen   +2 more
wiley   +1 more source

Heterogeneity in Imperfect Inflation Expectations: Theory and Evidence from a Novel Survey

Journal of Money, Credit and Banking, Volume 58, Issue 4, Page 969-994, June 2026.
Abstract Using survey data from Germany, we study heterogeneity in how households form inflation expectations. We elicit (i) uncertainty in perceptions of current inflation and (ii) how persistent households perceive inflation to be. Combining these with standard survey questions on inflation, we infer laws of motion for expectations at the individual ...
ALISTAIR MACAULAY, JAMES MOBERLY
wiley   +1 more source

Real-time prediction of bladder urine leakage using fuzzy inference system and dual Kalman filtering in cats. [PDF]

Sci Rep
Qasemi A, Aminian A, Erfanian A.
europepmc   +1 more source

Performance enhancement of diffuse fluorescence tomography based on an extended Kalman filtering-long short term memory neural network correction model. [PDF]

Biomed Opt Express
Xing L, Zhang L, Sun W, He Z, Zhang Y, Gao F.   +5 more
europepmc   +1 more source

SHAKF-PU: Sage-Husa Adaptive Kalman Filtering-Based Pedestrian Characteristic Parameter Update Mechanism for Enhancing Step Length Estimation in Pedestrian Dead Reckoning. [PDF]

Appl Bionics Biomech
Tseng CH, Wu JY.
europepmc   +1 more source

Kalman Filters and Specification Errors of Hyper-Structure [PDF]

Stefan Grzesiak
core  

Correction: Bayesian inference of kinetic schemes for ion channels by Kalman filtering.

Elife
Münch JL, Paul F, Schmauder R, Benndorf K.   +3 more
europepmc   +1 more source

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Nonlinear filtering with exogenous Kalman filter and double Kalman filter

2016 European Control Conference (ECC), 2016
We propose two variants of the Linearized Kalman Filter (LKF). The model linearization is made about an auxiliary state estimate that can be seen as an exogenous input to the LFK, and the resulting two-stage estimator is called an exogenous Kalman filter (XKF).
Tor Arne Johansen, Thor I. Fossen
openaire   +1 more source