Results 11 to 20 of about 2,425,653 (248)
Segmented Regression Based on Cut-off Polynomials [PDF]
In Statistika: Statistics and Economy Journal No. 4/2015 (pp. 39–58), author’s paper Segmented Regression Based on B-splines with Solved Examples was published.
Miloš Kaňka
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piecewise-regression (aka segmented regression) in Python [PDF]
Piecewise regression (also known as segmented regression, broken-line regression, or breakpoint analysis) fits a linear regression model to data that includes one or more breakpoints where the gradient changes.
Pilgrim, Charlie
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Investment Accelerator of Agricultural Production [PDF]
Domestic agriculture is one of the few economy’s sectors that maintained a noticeable growth in the context of the macroeconomic slowdown. Agriculture’s labour productivity remains at a relatively stable level. However, the
Roman Borisovich Shestakov +1 more
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Fast Algorithms for Segmented Regression
27 pages, appeared in ICML ...
Jayadev Acharya +3 more
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Video Object Segmentation by Latent Outcome Regression [PDF]
This paper presents a novel algorithm for unsupervised video object segmentation (UVOS) in unconstrained scenarios. Although a large variety of methods have been proposed in the literature, segmenting generic objects is still challenging because different methods often perform well in different situations, and no single method can outperform the others
Lin Zhang 0033, Yao Lu 0001
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Background Regular measurement of the availability and use of key medicines for non-communicable diseases allows the tracking of progress to achieve equitable access to medicines. Using a country-level public sector monitoring system for medicine supply,
Janeth Tenorio-Mucha +4 more
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Varicella is a contagious disease of children. Qingdao administrated free one-dose and free two-dose universal varicella vaccination schedules in 2013 and 2016 for preschool children.
Zheng Gao +4 more
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Efficient Algorithms for Multidimensional Segmented Regression
We study the fundamental problem of fixed design {\em multidimensional segmented regression}: Given noisy samples from a function $f$, promised to be piecewise linear on an unknown set of $k$ rectangles, we want to recover $f$ up to a desired accuracy in mean-squared error.
Ilias Diakonikolas +2 more
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Generalized smooth monotonic regression [PDF]
Common approaches to monotonic regression focus on the case of a unidimensional covariate and continuous dependent variable. Here a general approach is proposed that allows for additive and multiplicative structures where one or more variables have ...
Gerhard Tutz +3 more
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Analysing the course of multiple sclerosis with segmented regression models [PDF]
Multiple sclerosis (MS) is a demyelinating disease of the central nervous system whose cause is still unknown. The disease course shows great inter- and intra-individual variability and this results in insecurity of diagnosis and prognosis.
Hellriegel, B. +4 more
core +1 more source

