Results 31 to 40 of about 483 (131)
Cancer Medicine, Volume 12, Issue 12, Page 13856-13864, June 2023., 2023 Abstract Background Patients with muscle‐invasive bladder cancer (MIBC) constitute a heterogenous group in terms of patient and tumour characteristics (‘case‐mix’) and prognosis. The aim of the current study was to investigate whether differences in survival could be used to separate MIBC patients into separate classes using a recently developed latent
Christel Häggström +4 more
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Significance evaluation in factor graphs
BMC Bioinformatics, 2017 Background Factor graphs provide a flexible and general framework for specifying probability distributions. They can capture a range of popular and recent models for analysis of both genomics data as well as data from other scientific fields.
Tobias Madsen +3 more
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Mathematical Modeling of Coolant Flow in Discontinuous Drilling Processes with Temperature Coupling
Proceedings in Applied Mathematics and Mechanics, Volume 22, Issue 1, March 2023., 2023 Abstract Nickel‐based alloys, like Inconel 718, are widely used in industrial applications due to their high‐temperature strength and high toughness. However, machining such alloys is a challenging task because of high thermal loads at the cutting edge and thus extensive tool wear is expected.
Michael Fast +4 more
wiley +1 more source
Autoregressive Lag—Order Selection Using Conditional Saddlepoint Approximations
Econometrics, 2017 A new method for determining the lag order of the autoregressive polynomial in regression models with autocorrelated normal disturbances is proposed. It is based on a sequential testing procedure using conditional saddlepoint approximations and permits ...
Ronald W. Butler, Marc S. Paolella
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Journal of Mathematics, Volume 2023, Issue 1, 2023., 2023 Many statisticians resort to using the asymptotic normal approximation method to carry out statistical inference for many statistical tests, especially nonparametric ones. In this article, the saddlepoint approximation method is proposed as an alternative to the asymptotic normal approximation method to carry out statistical inference for a number of ...
Abd El-Raheem M. Abd El-Raheem +3 more
wiley +1 more source
Explaining the Saddlepoint Approximation [PDF]
The American Statistician, 1999 Abstract Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and distribution functions. We give an elementary motivation and explanation of approximation techniques, starting with Taylor series expansions and progressing to the Laplace approximation of integrals.
Constantino Goutis, George Casella
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Saddlepoint approximations to the distribution of the total distance of the multivariate isotropic and von Mises–Fisher random walks [PDF]
, 2017 This article considers the random walk over Rp, with p ≥ 2, where the directions taken by the individual steps follow either the isotropic or the vonMises–Fisher distributions.
R. Gatto, Gatto, Riccardo
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Replica Wormholes and Quantum Hair
Fortschritte der Physik, Volume 74, Issue 1, January 2026.Abstract The recent applications of Euclidean path integrals to the black hole information problem are discussed. In calculations with replica wormholes as the next‐to‐leading order correction to the Gibbons–Hawking saddlepoint, the radiation density matrix approaches a pure state at late times, following the Page curve.
Xavier Calmet, Stephen D. H. Hsu
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Saddlepoint Approximation for Sensor Network Optimization [PDF]
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006 The task of detection optimization in sensor networks is hindered by the large computational cost of evaluating the performance criteria, e.g. the probability of making wrong decisions. We present an approach that avoids these obstacles by considering a rather accurate approximation to computing the detection performance.
Saeed A. Aldosari, José M. F. Moura
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Health Science Reports, Volume 8, Issue 9, September 2025.ABSTRACT Background and Aims Cause‐specific mortality (CSM) count prediction plays a vital role in the context of public health policy. In this study, we introduce a new analytical approach, which is divided into three phases to answer specific questions regarding CSM due to 14 specific causes by computing different simple, compound, and conditional ...
Aditya Chakraborty, Mohan D. Pant
wiley +1 more source