Results 101 to 110 of about 726,750 (291)
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
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This paper discusses the asynchronous fault detection filter (FDF) problem for discrete singular Markov jump systems (SMJSs) via event-triggered scheme (ETS).
Qian Zhang +3 more
doaj +1 more source
Nonzero-Sum Stochastic Differential Game between Controller and Stopper for Jump Diffusions
We consider a nonzero-sum stochastic differential game which involves two players, a controller and a stopper. The controller chooses a control process, and the stopper selects the stopping rule which halts the game.
Yan Wang +3 more
doaj +1 more source
Calibrating Bayesian inference
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
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Enhancing Markov and Chebyshev's inequalities
The idea of the restricted mean has been used to establish a significantly improved version of Markov's inequality that does not require any new assumptions. The result immediately extends on Chebyshev's inequalities and Chernoff's bound. The improved Markov inequality yields a bound that is hundreds or thousands of times more accurate than the ...
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ABSTRACT Background The increasing burden of oral diseases in low‐ and middle‐income countries (LMICs) and limited access to and affordability of oral care disproportionately impact disadvantaged groups. Oral health research has been dominated by professional academic perspectives with limited contribution from the communities involved. The aim of this
Carol C. Guarnizo‐Herreño +9 more
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Markov inequality as a tool for linear-scaling estimation of local observables
We introduce a linear-scaling stochastic method to compute real-space maps of any positive local spectral operator in a tight-binding model. By employing positive semidefinite estimators, the sampling error at each site can be rigorously bounded relative
H. P. Veiga +3 more
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Stabilization for Networked Control Systems with Random Sampling Periods
This paper investigates the stabilization of networked control systems (NCSs) with random delays and random sampling periods. Sampling periods can randomly switch between three cases according to the high, low, and medium types of network load.
Yuan Li +3 more
doaj +1 more source
L Markov–Bernstein Inequalities on Arcs of the Circle
The paper is devoted to the proof of the following (very difficult!) result: \textbf{Theorem}: Let ...
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PBR‐Inspired Controllable Diffusion for Image Generation
Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue +3 more
wiley +1 more source

