Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regression [PDF]
Methodology and Computing in Applied Probability, 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.
Alexander Henzi, Alexandre Mösching
exaly +4 more sources
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
doaj +3 more sources
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
doaj +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Stable reliability diagrams for probabilistic classifiers. [PDF]
Proc Natl Acad Sci U S A, 2021 Significance Probabilistic classifiers assign predictive probabilities to binary events, such as rainfall tomorrow, a recession, or a personal health outcome.
Dimitriadis T, Gneiting T, Jordan AI.
europepmc +3 more sources
Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods
Journal of Statistical Software, 2009 In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints.
Jan de Leeuw, Kurt Hornik, Patrick Mair
doaj +2 more sources
Improving Maximum Tolerated Dose Selection in Model-Assisted Designs for Phase I Trials Through Bayesian Dose-Response Model. [PDF]
Pharm StatModel‐assisted designs have garnered significant attention in recent years due to their high accuracy in identifying the maximum tolerated dose (MTD) and their operational simplicity. To identify the MTD, they employ estimated dose limiting toxicity (DLT)
Wakayama R, Momozaki T, Ando S.
europepmc +2 more sources
Better synonyms for enriching biomedical search. [PDF]
J Am Med Inform Assoc, 2020 OBJECTIVE In a biomedical literature search, the link between a query and a document is often not established, because they use different terms to refer to the same concept.
Yeganova L +5 more
europepmc +2 more sources
Likelihood Ratios for Deep Neural Networks in Face Comparison. [PDF]
J Forensic Sci, 2020 In this study, we aim to compare the performance of systems and forensic facial comparison experts in terms of likelihood ratio computation to assess the potential of the machine to support the human expert in the courtroom. In forensics, transparency in
Macarulla Rodriguez A +2 more
europepmc +2 more sources