Results 101 to 110 of about 44,986 (305)
International Journal of Metrology and Quality EngineeringType A uncertainty evaluation can significantly benefit from incorporating prior knowledge about the precision of an employed measurement device, which allows for reliable uncertainty assessments with limited observations.
Marschall Manuel +5 more
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Stress-Strength Analysis of Inverse Weibull Model Using Type-II Progressive Hybrid Censoring and Its Application to Light-Emitting Diodes [PDF]
Maǧallaẗ Al-Buḥūṯ Al-TiǧāriyyaẗIn this paper, we discuss the estimation of δ = P(Y < X) based on Type-II progressivehybrid censored samples when X and Y are two independent Inverse Weibull distributionswith different scale parameters, but having the same shape parameter.
سارة محمد عبدالعليم +2 more
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, 2022 Probabilistic programming, the idea to write probabilistic models as computer programs, has proven to be a powerful tool for statistical analysis thanks to the computation power of built-in inference algorithms. Developing suitable inference algorithms that work for arbitrary programs in a Turing-complete probabilistic programming language (PPL) has ...
openaire +2 more sources
Markov Chain Monte Carlo Technology [PDF]
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core
CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 435-447, March 2025.Abstract Intranasal diamorphine (IND), approved for managing breakthrough pain in the UK, has been identified as an acceptable alternative offering effective, expedient, and less traumatic analgesia for children. However, the current dose regimen in pediatric populations relies on clinical expertise while the pharmacokinetics properties are poorly ...
Lianjin Cai +6 more
wiley +1 more source
Journal of Statistical Software, 2013 This paper introduces an R package for spatial and spatio-temporal prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models is Markov chain Monte Carlo (MCMC) and the new package, lgcp, therefore also ...
Benjamin M. Taylor +3 more
doaj
CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 486-494, March 2025.Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley +1 more source
River Research and Applications, EarlyView.ABSTRACT Pacific salmon face substantial challenges when migrating through anthropogenically modified river systems, such as the Sacramento‐San Joaquin River Delta (the Delta). Non‐physical behavioral barriers, such as the bioacoustic fish fence (BAFF), are one potential solution for guiding fish away from hazards without obstructing water flow ...
Maggie Raboin +2 more
wiley +1 more source
label.switching: An R Package for Dealing with the Label Switching Problem in MCMC Outputs
Journal of Statistical Software, 2016 Label switching is a well-known and fundamental problem in Bayesian estimation of mixture or hidden Markov models. In case that the prior distribution of the model parameters is the same for all states, then both the likelihood and posterior distribution
Panagiotis Papastamoulis
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Identifying influential observations in Bayesian models by using Markov chain Monte Carlo. [PDF]
, 2011 In statistical modelling, it is often important to know how much parameter estimates are influenced by particular observations. An attractive approach is to re-estimate the parameters with each observation deleted in turn, but this is computationally ...
James Carpenter +5 more
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