Results 21 to 30 of about 769,141 (192)
, 2020 In the first part of this study (Paper I), we introduced the systematic improvement probability (SIP) as a tool to assess the level of improvement on absolute errors to be expected when switching between two computational chemistry methods.
Pernot, Pascal, Savin, Andreas
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Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem [PDF]
, 2010 This paper studies the multiplicity-correction effect of standard Bayesian variable-selection priors in linear regression. Our first goal is to clarify when, and how, multiplicity correction happens automatically in Bayesian analysis, and to distinguish ...
Berger, James O., Scott, James G.
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To be(t) or not to be(t): A Bayesian approach to statistical data analysis [PDF]
EPJ Web of ConferencesThe process of learning from observation is the founding step of Science. When it goes in the direction of collecting empyrical observations and getting to general rules it is called “induction”, and it has the goal to infer from the effects of a given ...
Pisano Silvia
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Remote Sensing, 2018 Remotely sensed data-based models used in operational forest inventory usually give precise and accurate predictions on average, but they often suffer from systematic under- or over-estimation of extreme attribute values resulting in too narrow or skewed
Virpi Junttila, Tuomo Kauranne
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Journal of Medical Internet Research, 2020 BackgroundDespite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice.
Kim, Junetae +8 more
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Quantitative Framework for Astrobiology Strategies and in situ Biogenic Assessments
Frontiers in Astronomy and Space Sciences, 2022 In July 2020, NASA’s Perseverance (Mars 2020) mission was launched. The rover sent to the surface of Mars will not only perform in situ analyses, but will also collect rock and regolith samples that will be returned to Earth by future missions for ...
Julie Hartz, Simon C. George
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Surface drift prediction in the Adriatic Sea using hyper-ensemble statistics on atmospheric, ocean and wave models: Uncertainties and probability distribution areas [PDF]
Journal of Marine Systems, 2008 Abstract Despite numerous and regular improvements in underlying models, surface drift prediction in the ocean remains a challenging task because of our yet limited understanding of all processes involved. Hence, deterministic approaches to the problem are often limited by empirical assumptions on underlying physics.
Rixen, Michel +2 more
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Journal of Hydrology: Regional Studies, 2018 Study region: Arkansas River in Colorado, east of the Rocky Mountains. Study focus: Nonpoint source (NPS) flows and solute loads from irrigated lands can markedly shape the water environment.
Timothy K. Gates +2 more
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Using Small Area Estimation to Produce Official Statistics
Stats, 2022 The USDA National Agricultural Statistics Service (NASS) and other federal statistical agencies have used probability-based surveys as the foundation for official statistics for over half a century.
Linda J. Young, Lu Chen
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Uncertainty About Uncertainty: What Constitutes “Knowledge of Probability and Statistics Appropriate to the Program Name and Objectives” in our Program Accreditation Criteria [PDF]
2011 ASEE Annual Conference & Exposition Proceedings, 2020 Uncertainty about Uncertainty: what constitutes “knowledge of probability and statistics appropriate to the program name and objectives” in our program accreditation criteriaAbstractEAC of ABET program accreditation criteria for Electrical, Computer, andsimilarly named engineering programs include the requirement that the programmust demonstrate that ...
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