Results 91 to 100 of about 726,750 (291)

Robust Fault Detection Filter Design of Networked Control Systems

IEEE Access, 2019
A robust fault detection scheme is developed for networked control systems (NCSs) with limited quality of services (QoS), such as network-induced time delay, data dropout, and error sequence.
Hui Ye, Liyan Wen
doaj   +1 more source

Measuring Income Inequality Using a Graduated Poll Tax: Spain, 1874&-1943 [PDF]

Measuring income inequality in Spain from the long nineteenth century up to the emergence of modern household budgets is a daunting task, often requiring almost heroic assumptions given the scarcity and partial nature of the available sources.
Artola Blanco, Miguel, Pujadas Mora, Joana Maria   +1 more
core  

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

Extending dynamic segmentation with lead generation: A latent class Markov analysis of financial product portfolios [PDF]

A recent development in marketing research concerns the incorporation of dynamics in consumer segmentation.This paper extends the latent class Markov model, a suitable technique for conducting dynamic segmentation, in order to facilitate lead generation ...
Vermunt, J.K., Paas, L.J., Bijmolt, T.H.A.   +2 more
core  

Latent Poisson count models for action count data from technology‐enhanced assessments

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley   +1 more source

Thermodynamic bounds and symmetries in first-passage problems of fluctuating currents

New Journal of Physics
We develop a method for deriving thermodynamic bounds for first-passage problems of currents with two boundaries in Markov chains. Using this method, we derive a thermodynamic bound on the rate of dissipation in terms of the splitting probability and the
Adarsh Raghu, Izaak Neri
doaj   +1 more source

Approximating multidimensionality with asymmetric unidimensional IRT models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao, Yinqiu He, Daniel Bolt, James Soland, Carlin Conner, Emily J. Solari   +5 more
wiley   +1 more source

The natural history of periodontal disease—Part 2: In populations with access to dental care: The Studies of Health in Pomerania (SHIP)

Periodontology 2000, EarlyView., 2023
Abstract In this descriptive analysis of the 21‐year follow‐up data from the SHIP‐START cohort and the 7‐year follow‐up data from the SHIP‐TREND cohort, we report the progression of clinical attachment levels (CAL), age effects on CAL change, and a detailed description of CAL progression and remission. At baseline, 4307 and 4420 persons participated in
Thomas Kocher, Peter Meisel, Reiner Biffar, Henry Völzke, Birte Holtfreter   +4 more
wiley   +1 more source

The Arsenal of Perturbation Bounds for Finite Continuous-Time Markov Chains: A Perspective

Mathematics
Perturbation bounds are powerful tools for investigating the phenomenon of insensitivity to perturbations, also referred to as stability, for stochastic and deterministic systems.
Alexander Y. Mitrophanov
doaj   +1 more source

EPR, Robustness and the Causal Markov Condition [PDF]

, 2007
It is still a matter of controversy whether the Principle of the Common Cause (PCC) can be used as a basis for sound causal inference. It is thus to be expected that its application to quantum mechanics should be a correspondingly controversial issue ...
San Pedro, Iñaki, Suárez, Mauricio
core