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Drug Design, Development and Therapy, 2022 Bingwei Hu,1,2 Liang Li,2 Hongwei Wang,2 Tingting Ma,2 Zhimei Fu,2 Xianhui Kang,3 Zhiying Feng1 1Department of Pain, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China; 2Department of ...
Hu B +6 more
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Isotonic Regression under Lipschitz Constraint. [PDF]
J Optim Theory Appl, 2009 The pool adjacent violators (PAV) algorithm is an efficient technique for the class of isotonic regression problems with complete ordering. The algorithm yields a stepwise isotonic estimate which approximates the function and assigns maximum likelihood to the data.
Yeganova L, Wilbur WJ.
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Isotonic and Convex Regression: A Review of Theory, Algorithms, and Applications
MathematicsShape-restricted regression provides a flexible framework for estimating an unknown relationship between input variables and a response when little is known about the functional form, but qualitative structural information is available. In many practical
Eunji Lim
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South African Journal of Physiotherapy, 2001 Isotonic strength training remains one of the methods of strengthening muscles, as it requires inexpensive materials. The method requires the determination of maximal isotonic strength or one repetition maximum [1-RM] and/or sub-maximal isotonic strength
A. O. Akinpelu +2 more
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The EC of remifentanil to minimize the cardiovascular changes during head holder pinning in neurosurgery [PDF]
Korean Journal of Anesthesiology, 2012 BackgroundDuring neuroanesthesia, head holder pinning commonly results in sympathetic stimulation manifested by hemodynamic changes, such as increased heart rate and arterial blood pressure.
Wang Seok Do +3 more
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CoRRIsotonic regression (IR) is shape-constrained regression to maintain a univariate fitting curve non-decreasing, which has numerous applications including single-index models and probability calibration. When it comes to multi-output regression, the classical IR is no longer applicable because the monotonicity is not readily extendable.
Han Bao, Amirreza Eshraghi, Yutong Wang
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Multiple Isotonic Median Regression
The Annals of Statistics, 1973 We consider the partial order on the unit square; $s_1 = (x_1, y_1) \ll s_2 = (x_2, y_2)$ if and only if $x_i \leqq y_i$ for $i = 1, 2$, and say that a real-valued function $f$ is isotone if $s_1 \ll s_2$ implies that $f(s_1) \leqq f(s_2)$. Suppose that for each point, $s$, in the unit square we have a distribution with median $m(s)$ and $m(s)$ is ...
Robertson, Tim, Wright, F. T.
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Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data
MathematicsProbability calibration is commonly utilized to enhance the reliability and interpretability of probabilistic classifiers, yet its potential for reducing algorithmic bias remains under-explored.
Miroslav Nikolić +4 more
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Scientific Reports, 2021 Knowledge about modifiable determinants of daily physical activity (PA) in patients with chronic obstructive pulmonary disease (COPD) is crucial to design effective PA interventions.
Erik Frykholm +8 more
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