3,033 research outputs found
LMMSE Estimation and Interpolation of Continuous-Time Signals from Discrete-Time Samples Using Factor Graphs
The factor graph approach to discrete-time linear Gaussian state space models
is well developed. The paper extends this approach to continuous-time linear
systems/filters that are driven by white Gaussian noise. By Gaussian message
passing, we then obtain MAP/MMSE/LMMSE estimates of the input signal, or of the
state, or of the output signal from noisy observations of the output signal.
These estimates may be obtained with arbitrary temporal resolution. The
proposed input signal estimation does not seem to have appeared in the prior
Kalman filtering literature
Employment, Wages, and the Economic Cycle: Differences between Immigrants and Natives
In this paper, we analyse differences in the cyclical pattern of employment and wages of immigrants and natives for two large immigrant receiving countries, Germany and the UK. We show that, despite large differences in their immigrant populations, there are similar and significant differences in cyclical responses between immigrants and natives in both countries, even conditional on education, age, and location. We decompose changes in outcomes into a secular trend and a business cycle component. We find significantly larger unemployment responses to economic shocks for low-skilled workers relative to high-skilled workers and for immigrants relative to natives within the same skill group. There is little evidence for differential wage responses to economic shocks. We offer three explanations for these findings: an equilibrium search model, where immigrants experience higher job separation rates, a model of dual labour markets, and differences in the complementarity of immigrants and natives to capital.immigration, unemployment, business cycle
Hesiod und das Wissen der Musen
Ziel dieses Aufsatzes ist es, den Geltungsanspruch zu ergründen, den Hesiod seinem dichterischen Werk einschreibt
Die „boethianische Frage“ – Über die Eigenständigkeit von Boethius’ logischem Lehrwerk
Die Frage nach der Eigenständigkeit des boethianischen Denkens ist für die Bewertung von Boethius’ logischem Werk so kontrovers wie grundlegend, da ihre Beantwortung zugleich Erkenntnisse zur Praxis und zu den Zielen des boethianischen Wissenstransfers erfordert wie auch auch ermöglicht. In diesem Aufsatz sollen Argumente, Beobachtungen und Überlegungen vorgestellt und diskutiert werden, die für und wider die Plausibilität der wirkmächtigen These James Shiels sprechen, wonach Boethius auch in seinen Kommentaren und logischen Traktaten lediglich Scholien übersetzte
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations
The large number of possible configurations of modern software-based systems,
combined with the large number of possible environmental situations of such
systems, prohibits enumerating all adaptation options at design time and
necessitates planning at run time to dynamically identify an appropriate
configuration for a situation. While numerous planning techniques exist, they
typically assume a detailed state-based model of the system and that the
situations that warrant adaptations are known. Both of these assumptions can be
violated in complex, real-world systems. As a result, adaptation planning must
rely on simple models that capture what can be changed (input parameters) and
observed in the system and environment (output and context parameters). We
therefore propose planning as optimization: the use of optimization strategies
to discover optimal system configurations at runtime for each distinct
situation that is also dynamically identified at runtime. We apply our approach
to CrowdNav, an open-source traffic routing system with the characteristics of
a real-world system. We identify situations via clustering and conduct an
empirical study that compares Bayesian optimization and two types of
evolutionary optimization (NSGA-II and novelty search) in CrowdNav
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