Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regression. [PDF]
Methodol Comput Appl Probab, 2022 In the context of estimating stochastically ordered distribution functions, the pool-adjacent-violators algorithm (PAVA) can be modified such that the computation times are reduced substantially.
Henzi A, Mösching A, Dümbgen L.
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In the context of forensic casework, are there meaningful metrics of the degree of calibration? [PDF]
Forensic Science International: Synergy, 2021 Forensic-evaluation systems should output likelihood-ratio values that are well calibrated. If they do not, their output will be misleading. Unless a forensic-evaluation system is intrinsically well-calibrated, it should be calibrated using a ...
Geoffrey Stewart Morrison
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Monotone Regression: A Simple and Fast O(n) PAVA Implementation
Journal of Statistical Software, 2022 Efficient coding and improvements in the execution order of the up-and-down-blocks algorithm for monotone or isotonic regression leads to a significant increase in speed as well as a short and simple O(n) implementation.
Frank M. T. A. Busing
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meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means
Algorithms, 2022 Meta-analysis is an indispensable tool for synthesizing statistical results obtained from individual studies. Recently, non-Bayesian estimators for individual means were proposed by applying three methods: the James–Stein (JS) shrinkage estimator ...
Nanami Taketomi +3 more
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Fast online deconvolution of calcium imaging data. [PDF]
PLoS Computational Biology, 2017 Fluorescent calcium indicators are a popular means for observing the spiking activity of large neuronal populations, but extracting the activity of each neuron from raw fluorescence calcium imaging data is a nontrivial problem.
Johannes Friedrich +2 more
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Optimization, 2022 This paper introduces the monotone extended second-order cone (MESOC), which is related to the monotone cone and the second-order cone. Some properties of the MESOC are presented and its dual cone is computed. Projecting onto the MESOC is reduced to the pool-adjacent-violators algorithm (PAVA) of isotonic regression.
O. P. Ferreira, Y. Gao, S. Z. Németh
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A dual active set algorithm for optimal sparse convex regression
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2019 The shape-constrained problems in statistics have attracted much attention in recent decades. One of them is the task of finding the best fitting monotone regression. The problem of constructing monotone regression (also called isotonic regression) is to
Aleksandr Aleksandrovich Gudkov +3 more
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A pool-adjacent-violators-algorithm approach to detect infinite parameter estimates in one-regressor dose–response models with asymptotes [PDF]
Journal of Statistical Computation and Simulation, 2013 Binary response models are often applied in dose–response settings where the number of dose levels is limited. Commonly, one can find cases where the maximum likelihood estimation process for these models produces infinite values for at least one of the parameters, often corresponding to the ‘separated data’ issue.
Deutsch, Roland C. +2 more
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Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint [PDF]
, 2014 In certain genetic studies, clinicians and genetic counselors are interested in estimating the cumulative risk of a disease for individuals with and without a rare deleterious mutation.
Garcia, Tanya P. +5 more
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Multidimensional isotonic regression and estimation of the threshold value [PDF]
, 2001 No abstract ...
Salanti, G., Ulm, Kurt
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