Results 151 to 160 of about 95,986 (277)
Learning in the Limit: Income Inference from Credit Extensions
ABSTRACT Combining a randomized controlled trial with administrative and survey data, this paper shows that credit limit extensions significantly increase total spending and income expectations. By controlling for changes in personal income expectations, the spending response to credit limit extensions weakens by approximately 30%.
XIAO YIN
wiley +1 more source
MF-IEKF: A Multiplicative Federated Invariant Extended Kalman Filter for INS/GNSS. [PDF]
Zhao L, Chen T, Yuan P, Li X, Luo Y.
europepmc +1 more source
Robust CDF‐Filtering of a Location Parameter
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
Early estimation of the number of hidden HIV infected subjects: An extended Kalman filter approach. [PDF]
Di Giamberardino P, Iacoviello D.
europepmc +1 more source
ABSTRACT The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium‐to‐long‐run component of economic growth of a ...
Alessandro Giovannelli +2 more
wiley +1 more source
Treatment of Extended Kalman Filter Implementations for the Gyroless Star Tracker. [PDF]
Critchley-Marrows JJR, Wu X, Cairns IH.
europepmc +1 more source
Cointegration in a MIDAS Regression
ABSTRACT Mixed data sampling (MIDAS) cointegration models are used to analyse variables observed at different frequencies. In this paper, we start from an assumed autoregressive distributed lag (ADL) model for high‐frequency observations, and derive the resulting representation when the dependent variable is only observed at a lower frequency.
H. Peter Boswijk, Philip Hans Franses
wiley +1 more source
A Robust Extended Kalman Filter Algorithm Based on a Sliding Window Fractional-Order Grey Prediction Model and Its Application in MINS/GNSS. [PDF]
Zhang M, Xu A.
europepmc +1 more source
Bimodal Extended Kalman Filter-Based Pedestrian Trajectory Prediction. [PDF]
Lin CY, Kau LJ, Chan CY.
europepmc +1 more source
Likelihood Estimation for Stochastic Differential Equations with Mixed Effects
ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios +2 more
wiley +1 more source

