Results 271 to 280 of about 777,619 (319)

Integral Imprecise Probability Metrics

arXiv.org
Quantifying differences between probability distributions is fundamental to statistics and machine learning, primarily for comparing statistical uncertainty.
Siu Lun Chau, Michele Caprio, Krikamol Muandet   +2 more
semanticscholar   +1 more source

Quantifying changes and their uncertainties in probability distribution of climate variables using robust statistics

Climate Dynamics, 2006
Robust tools are presented in this manuscript to assess changes in probability density function (pdf) of climate variables. The approach is based on order statistics and aims at computing, along with their standard errors, changes in various quantiles and related statistics.
openaire   +1 more source

On soft measurement modeling for predicting photovoltaic power with uncertainty based on the Takagi–Sugeno model

Measurement science and technology
Accurate solar power forecast is becoming more essential for safe and reliable power grid operation with the increasing number of grid-connected photovoltaic (PV) power production units.
Zhenxing Ren, Yu Zhou
semanticscholar   +1 more source

Response probability distribution estimation of expensive computer simulators: A Bayesian active learning perspective using Gaussian process regression

Structural Safety
Estimation of the response probability distributions of computer simulators in the presence of randomness is a crucial task in many fields. However, achieving this task with guaranteed accuracy remains an open computational challenge, especially for ...
C. Dang, M. Valdebenito, Nataly A. Manque, Jun Xu, M. Faes   +4 more
semanticscholar   +1 more source

Using Rejection Sampling Probability of Acceptance as a Measure of Independence

Journal of Computational And Graphical Statistics
This article proposes a new association statistic for determining whether random variables are statistically independent. The proposed association statistic can also be used to examine the strength of both linear and nonlinear dependency between ...
Markku Kuismin
semanticscholar   +1 more source

Uncertainty and Risk, Likelihood and Probability, Statistical Significance and Actual Significance

SSRN Electronic Journal, 2023
openaire   +1 more source

Uncertainty: The Soul of Modeling, Probability & Statistics

, 2016
W. Briggs
semanticscholar   +1 more source

Management Decision Making Under Uncertainty: An Introduction to Probability and Statistical Decision Theory.

Journal of the American Statistical Association, 1971
Richard P. Bland, T. R. Dyckman, S. Smidt, A. K. McAdams   +3 more
openaire   +1 more source

Reliability based multidisciplinary design optimization of cooling turbine blade considering uncertainty data statistics

Structural And Multidisciplinary Optimization, 2018
Lei Li, Huan Wan, Wenjing Gao, Fujuan Tong, Honglin Li   +4 more
semanticscholar   +1 more source

Probability and Statistics for Business Decisions: An Introduction to Managerial Economics under Uncertainty

The Review of Economics and Statistics, 1961
Franklin M. Fisher, Robert Schlaifer
openaire   +1 more source