Results 31 to 40 of about 908 (194)
Fast and accurate recurrent event analysis for genome‐wide association studies
Genetic Epidemiology, Volume 47, Issue 5, Page 365-378, July 2023., 2023 Abstract Many diseases recur after recovery, for example, recurrences in cancer and infections. However, research is often focused on analysing only time‐to‐first recurrence, thereby ignoring any subsequent recurrences that may occur after the first.
Jasper P. Hof +3 more
wiley +1 more source
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
wiley +1 more source
Parameter Estimation of the Lognormal-Rician Channel Model Using Saddlepoint Approximation
IEEE Access, 2020 In this article, the challenges of effective channel estimation for the lognormal-Rician turbulence model are addressed. We present a novel maximum likelihood estimation algorithm involving a saddlepoint approximation (SAP) method to estimate the shaping
Maoke Miao, Xiaofeng Li
doaj +1 more source
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
doaj +1 more source
Approximate and estimated saddlepoint approximations [PDF]
Canadian Journal of Statistics, 2002 AbstractClassical saddlepoint methods, which assume that the cumulant generating function is known, result in an approximation to the distribution that achieves an error of orderO(n−1). The authors give a general theorem to address the accuracy of saddlepoint approximations in which the cumulant generating function has been estimated or approximated ...
Ohman-Strickland, Pamela +1 more
openaire +1 more source
Saddlepoint approximation to the distribution of the total distance of the von Mises-Fisher continuous time random walk [PDF]
, 2018 This article considers the random walk over Rp with any p ≥ 2, where a particle starts at the origin and progresses stepwise with fixed step lengths and von Mises–Fisher distributed step directions.
R. Gatto, Gatto, Riccardo
core +1 more source
On the Coexistence of eMBB and URLLC in Multi-Cell Massive MIMO
IEEE Open Journal of the Communications Society, 2023 The non-orthogonal coexistence between the enhanced mobile broadband (eMBB) and the ultra-reliable low-latency communication (URLLC) in the downlink of a multi-cell massive MIMO system is rigorously analyzed in this work. We provide a unified information-
Giovanni Interdonato +5 more
doaj +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
openaire +1 more source
Evaluating the Anderson-Darling Distribution
Journal of Statistical Software, 2004 Except for n = 1, only the limit as n approaches infinity for the distribution of the Anderson-Darling test for uniformity has been found, and that in so complicated a form that published values for a few percentiles had to be determined by numerical ...
George Marsaglia, John Marsaglia
doaj +1 more source