Results 101 to 110 of about 726,750 (291)

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
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
wiley   +1 more source

Asynchronous Fault Detection Filter for Discrete Singular Markov Jump Systems via Event-Triggered Scheme

open access: yesIEEE Access
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

open access: yesAbstract and Applied Analysis, 2013
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

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
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
wiley   +1 more source

Enhancing Markov and Chebyshev's inequalities

open access: yes, 2023
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 ...
openaire   +2 more sources

Advancing Global Oral Health Research Through Community and Academic Partnerships: An Overview of the CORE Programme

open access: yesCommunity Dentistry and Oral Epidemiology, EarlyView.
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
wiley   +1 more source

Markov inequality as a tool for linear-scaling estimation of local observables

open access: yesPhysical Review Research
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
doaj   +1 more source

Stabilization for Networked Control Systems with Random Sampling Periods

open access: yesJournal of Applied Mathematics, 2013
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

open access: yesJournal of Approximation Theory, 2001
The paper is devoted to the proof of the following (very difficult!) result: \textbf{Theorem}: Let ...
openaire   +3 more sources

PBR‐Inspired Controllable Diffusion for Image Generation

open access: yesComputer Graphics Forum, EarlyView.
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

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