Results 71 to 80 of about 4,352 (182)
Bayesian Testing of a Point Null Hypothesis Based on the Latent Information Prior
Entropy, 2013 Bayesian testing of a point null hypothesis is considered. The null hypothesisis that an observation, x, is distributed according to the normal distribution with a mean ofzero and known variance q2.
Fumiyasu Komaki
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How Uncertainty Affects Children's Exploration and Exploitation in Statistical Learning
Developmental Science, Volume 29, Issue 4, July 2026.ABSTRACT Environmental input is inherently uncertain at both global and local levels. Depending on the level of uncertainty, cognitive systems dynamically adapt by shifting attention between exploiting learned regularities and exploring less predictable alternatives.
Shelley Xiuli Tong +3 more
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Do robots boost productivity? A quantitative meta‐study
Journal of Economic Surveys, Volume 40, Issue 3, Page 1531-1571, July 2026.ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
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Mascarene High Variability Shapes the Demography of a Wind‐Reliant Marine Top Predator
Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.Abstract Subtropical anticyclones are semi‐permanent atmospheric high‐pressure systems located in all five major ocean basins and are associated with large‐scale wind and weather patterns. They shape the physical environments of many species, yet their impacts on wildlife remain unexplored. We combined population and climate analyses to investigate the
Ruijiao Sun +8 more
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Bayesian and Non-Bayesian Interval Estimators for the Poisson Mean
Revstat Statistical Journal, 2015 Seventeen different confidence intervals for the Poisson mean are compared using simulations and a real data application. The interval estimators include the Wald interval estimator, the score interval estimator, the exact interval estimator, the ...
S. Nadarajah
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The Bayesian Inference of Pareto Models Based on Information Geometry
Entropy, 2020 Bayesian methods have been rapidly developed due to the important role of explicable causality in practical problems. We develope geometric approaches to Bayesian inference of Pareto models, and give an application to the analysis of sea clutter.
Fupeng Sun +3 more
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Geometric Shrinkage Priors for Kählerian Signal Filters
Entropy, 2015 We construct geometric shrinkage priors for Kählerian signal filters. Based on the characteristics of Kähler manifolds, an efficient and robust algorithm for finding superharmonic priors which outperform the Jeffreys prior is introduced.
Jaehyung Choi, Andrew P. Mullhaupt
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On the Independence Jeffreys prior for skew--symmetric models with applications
, 2013 We study the Jeffreys prior of the skewness parameter of a general class of scalar skew--symmetric models. It is shown that this prior is symmetric about 0, proper, and with tails $O(λ^{-3/2})$ under mild regularity conditions. We also calculate the independence Jeffreys prior for the case with unknown location and scale parameters.
Rubio, F. J., Liseo, B.
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Pesquisa Agropecuária Brasileira, 2008 O objetivo deste trabalho foi realizar uma análise bayesiana de modelos auto-regressivos de ordem p, AR(p), para dados em painel referentes às diferenças esperadas nas progênies (DEP) de touros da raça Nelore publicados de 2000 a 2006.
Fabyano Fonseca e Silva +4 more
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Entropy, 2017 We study the optimal performance of Feynman’s ratchet and pawl, a paradigmatic model in nonequilibrium physics, using ecological criterion as the objective function.
Varinder Singh, Ramandeep S. Johal
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