Results 61 to 70 of about 3,579,757 (300)
Double Kernel Method Using Line Transect Sampling
Austrian Journal of Statistics, 2016 A double kernel method as an alternative to the classical kernel method is proposed to estimate the population abundance by using line transect sampling.
Omar Eidous, M.K. Shakhatreh
doaj +1 more source
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Profile Statistics for Sparse Contingency Tables under Poisson Sampling
Austrian Journal of Statistics, 2016 Simple conditions for the inconsistency of classical likelihood ratio (LR) test in case of very sparse categorical data are given. The LR type test based on profile statistics is proposed as an alternative.
Marijus Radavičius, Pavel Samusenko
doaj +1 more source
Updating Non-Additive Probabilities -- A Geometric Approach [PDF]
A geometric approach, analogous to the approach used in the additive case, is proposed to determine the conditional expectation with non- additive probabilities.
Ehud Lehrer
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Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Scatter Matrices and Independent Component Analysis
Austrian Journal of Statistics, 2016 In the independent component analysis (ICA) it is assumed that the components of the multivariate independent and identically distributed observations are linear transformations of latent independent components.
Hannu Oja, Seija Sirkiä, Jan Eriksson
doaj +1 more source
How to confuse with statistics or: the use and misuse of conditional probabilities [PDF]
The article shows by various examples how consumers of statistical information may be confused when this information is presented in terms of conditional probabilities. It also shows how this confusion helps others to lie with statistics, and it suggests
Krämer, Walter, Gigerenzer, Gerd
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ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Dependent Samples in Empirical Estimation of Stochastic Programming Problems
Austrian Journal of Statistics, 2016 Stochastic optimization models are built with the assumption that the underlying probability measure is entirely known. This is not true in practice, however: empirical approximation or estimates are used instead.
Vlasta Kaňková, Michal Houda
doaj +1 more source
Convergence and asymptotic variance of bootstrapped finite-time ruin probabilities with partly shifted risk processes. [PDF]
The classical risk model is considered and a sensitivity analysis of finite-time ruin probabilities is carried out. We prove the weak convergence of a sequence of empirical finite-time ruin probabilities.
Stéphane Loisel +2 more
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