Results 21 to 30 of about 3,632 (159)
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
Saddlepoint approximations for the normalizing constant of Fisher–Bingham distributions on products of spheres and Stiefel manifolds [PDF]
, 2013 In an earlier paper Kume & Wood (2005) showed how the normalizing constant of the Fisher– Bingham distribution on a sphere can be approximated with high accuracy using a univariate saddlepoint density approximation.
Kume, A. +2 more
core +2 more sources
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
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
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
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
Robust inference with censored survival data
Scandinavian Journal of Statistics, Volume 49, Issue 4, Page 1496-1533, December 2022., 2022 Abstract Randomly censored survival data appear in a wide variety of applications in which the time until the occurrence of a certain event is not completely observable. In this paper, we assume that the statistician observes a possibly censored survival time along with a censoring indicator.
Pierre‐Yves Deléamont +1 more
wiley +1 more source
An Extended Empirical Saddlepoint Approximation for Intractable Likelihoods [PDF]
, 2017 The challenges posed by complex stochastic models used in computational ecology, biology and genetics have stimulated the development of approximate approaches to statistical inference. Here we focus on Synthetic Likelihood (SL), a procedure that reduces
Bravington, Mark V. +3 more
core +3 more sources
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
Objective Bayes and Conditional Frequentist Inference [PDF]
, 2011 Objective Bayesian methods have garnered considerable interest and support among statisticians, particularly over the past two decades. It has often been ignored, however, that in some cases the appropriate frequentist inference to match is a ...
Kuffner, Todd Alan, Kuffner, Todd Alan
core +1 more source