Results 61 to 70 of about 6,985,591 (201)
Frequentist confidence intervals for orbits
, 2014 The problem of efficiently computing the orbital elements of a visual binary while still deriving confidence intervals with frequentist properties is treated. When formulated in terms of the Thiele-Innes elements, the known distribution of probability in
Lucy, L. B.
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Random sets and exact confidence regions [PDF]
, 2013 An important problem in statistics is the construction of confidence regions for unknown parameters. In most cases, asymptotic distribution theory is used to construct confidence regions, so any coverage probability claims only hold approximately, for ...
Martin, Ryan
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A DNA Computing Model for the Graph Vertex Coloring Problem Based on a Probe Graph
Engineering, 2018 The biggest bottleneck in DNA computing is exponential explosion, in which the DNA molecules used as data in information processing grow exponentially with an increase of problem size.
Jin Xu +4 more
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Confidence sets in sparse regression
, 2013 The problem of constructing confidence sets in the high-dimensional linear model with $n$ response variables and $p$ parameters, possibly $p\ge n$, is considered. Full honest adaptive inference is possible if the rate of sparse estimation does not exceed
Nickl, Richard, van de Geer, Sara
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eLife, 2020 Different regions of the striatum regulate different types of behavior. However, how dopamine signals differ across striatal regions and how dopamine regulates different behaviors remain unclear.
Iku Tsutsui-Kimura +5 more
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The Physical Significance of Confidence Intervals
, 2001 We define some appropriate statistical quantities that indicate the physical significance (reliability) of confidence intervals in the framework of both Frequentist and Bayesian statistical theories.
Giunti, C., Laveder, M.
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Development of a predictive model for perioperative blood transfusion in elderly patients undergoing unilateral total hip arthroplasty [PDF]
Jichu yixue yu linchuangObjective To analyze risk factors for perioperative blood transfusion in elderly patients undergoing unilateral primary total hip arthroplasty and develop a prediction model.
ZANG Han, HU Ai, XU Xuanqi, XU Li
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Information Theoretic Structure Learning with Confidence
, 2016 Information theoretic measures (e.g. the Kullback Liebler divergence and Shannon mutual information) have been used for exploring possibly nonlinear multivariate dependencies in high dimension.
Hero III, Alfred O. +3 more
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, 2020 Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes.
Rahnev, Dobromir, Sun, Sai
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Markov Chain Monte Carlo confidence intervals
, 2016 For a reversible and ergodic Markov chain $\{X_n,n\geq0\}$ with invariant distribution $\pi$, we show that a valid confidence interval for $\pi(h)$ can be constructed whenever the asymptotic variance $\sigma^2_P(h)$ is finite and positive.
Atchadé, Yves F.
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