Abstract: Heterogeneous Bayesian decentralized data fusion captures the set of problems in which two or more robots must combine probability density functions over non-equal, but overlapping sets of ...

Elm Market Navigator ETF transitioned from a private fund to an ETF in 2025, maintaining its dynamic, rules-based allocation methodology. The fund dynamically adjusts its 75% global equities and 25% ...

Abstract: The experimental identification of the quality factor in MEMS is a challenging task regarding signal processing and interpretation. Using logarithmic amplification some benefits regarding ...

DFMDash is an open-source tool for running Dynamic Factor Models (DFMs), primarily focused on pandemic intensity estimation through a combination of macroeconomic and epidemiological time-series data.

OMFS is a multi-factor small-cap blend ETF that has beat its benchmark, the Russell 2000 Index, by 10.52% since its launch in 2017. Its expense ratio is moderate at 0.39%. OMFS emphasizes 2-3 factors ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

1 Logistics, Vocational School, Istanbul Gelisim University, Istanbul, Turkey. 2 Department of Business Administration, Institute of Social Sciences, Ostim Technical University, Ostim, Turkey. 3 ...

Restaurant Rewind: Adjusting prices to shifts in demand is older than fire. Here are a few examples that shouldn't be forgotten. By Peter Romeo on Mar. 19, 2024 After Wendy’s charge and retreat on ...